data_source
stringclasses 1
value | prompt
stringlengths 949
8.38k
| ability
stringclasses 1
value | reward_model
dict | extra_info
dict |
|---|---|---|---|---|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
24, daily_or_recreational_activity
107, educational_activity
50, event
91, governmental_or_regulatory_activity
128, health_care_related_organization
36, machine_activity
83, organ_or_tissue_function
31, organization
72, pharmacologic_substance
1, population_group
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
91, isa, 69
91, isa, 50
128, carries_out, 107
128, carries_out, 91
128, location_of, 107
128, location_of, 91
36, isa, 69
36, isa, 50
83, isa, 50
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
72, affects, 83
72, complicates, 83
72, disrupts, 83
1, performs, 69
1, performs, 24
1, performs, 107
1, performs, 91
1, performs, 36
41, carries_out, 107
41, carries_out, 91
41, location_of, 107
41, location_of, 91
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
40, carries_out, 107
40, carries_out, 91
40, location_of, 107
40, location_of, 91
Question: How are organ_or_tissue_function, pharmacologic_substance, and population_group related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"organ_or_tissue_function",
"pharmacologic_substance",
"population_group"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"organ_or_tissue_function",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"pharmacologic_substance",
"affects",
"organ_or_tissue_function"
],
[
"pharmacologic_substance",
"complicates",
"organ_or_tissue_function"
],
[
"pharmacologic_substance",
"disrupts",
"organ_or_tissue_function"
],
[
"population_group",
"performs",
"activity"
],
[
"population_group",
"performs",
"daily_or_recreational_activity"
],
[
"population_group",
"performs",
"educational_activity"
],
[
"population_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"population_group",
"performs",
"machine_activity"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
48, classification
24, daily_or_recreational_activity
107, educational_activity
42, geographic_area
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
80, mental_or_behavioral_dysfunction
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
122, social_behavior
src, edge_attr, dst
48, isa, 55
24, associated_with, 80
24, isa, 69
107, associated_with, 80
107, isa, 69
42, associated_with, 80
42, isa, 70
91, associated_with, 80
91, isa, 69
128, carries_out, 107
128, carries_out, 91
128, isa, 31
128, location_of, 107
128, location_of, 91
128, produces, 48
128, produces, 55
128, produces, 66
36, isa, 69
113, causes, 80
80, affects, 122
80, result_of, 122
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, isa, 31
41, location_of, 107
41, location_of, 91
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 122
111, isa, 70
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
67, causes, 80
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, isa, 31
40, location_of, 107
40, location_of, 91
40, produces, 48
40, produces, 55
40, produces, 66
122, associated_with, 42
122, isa, 69
122, manifestation_of, 80
Question: How are mental_or_behavioral_dysfunction, organization, and social_behavior related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"mental_or_behavioral_dysfunction",
"organization",
"social_behavior"
],
"valid_edges": [
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"associated_with",
"mental_or_behavioral_dysfunction"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"educational_activity",
"associated_with",
"mental_or_behavioral_dysfunction"
],
[
"educational_activity",
"isa",
"activity"
],
[
"geographic_area",
"associated_with",
"mental_or_behavioral_dysfunction"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"governmental_or_regulatory_activity",
"associated_with",
"mental_or_behavioral_dysfunction"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"machine_activity",
"isa",
"activity"
],
[
"manufactured_object",
"causes",
"mental_or_behavioral_dysfunction"
],
[
"mental_or_behavioral_dysfunction",
"affects",
"social_behavior"
],
[
"mental_or_behavioral_dysfunction",
"result_of",
"social_behavior"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"causes",
"mental_or_behavioral_dysfunction"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"manifestation_of",
"mental_or_behavioral_dysfunction"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
129, body_substance
132, body_system
82, functional_concept
70, idea_or_concept
32, molecular_sequence
126, physical_object
src, edge_attr, dst
129, conceptual_part_of, 132
129, isa, 126
132, isa, 82
132, isa, 70
82, isa, 70
32, isa, 70
Question: For what reason are body_substance, molecular_sequence, and physical_object associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_substance",
"molecular_sequence",
"physical_object"
],
"valid_edges": [
[
"body_substance",
"conceptual_part_of",
"body_system"
],
[
"body_substance",
"isa",
"physical_object"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
91, governmental_or_regulatory_activity
58, occupation_or_discipline
126, physical_object
src, edge_attr, dst
91, issue_in, 58
91, method_of, 58
126, issue_in, 58
Question: For what reason are governmental_or_regulatory_activity, occupation_or_discipline, and physical_object associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"governmental_or_regulatory_activity",
"occupation_or_discipline",
"physical_object"
],
"valid_edges": [
[
"governmental_or_regulatory_activity",
"issue_in",
"occupation_or_discipline"
],
[
"governmental_or_regulatory_activity",
"method_of",
"occupation_or_discipline"
],
[
"physical_object",
"issue_in",
"occupation_or_discipline"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
61, clinical_drug
75, food
113, manufactured_object
18, physiologic_function
1, population_group
67, research_device
src, edge_attr, dst
61, isa, 113
75, affects, 18
75, ingredient_of, 61
1, produces, 61
1, produces, 113
1, produces, 67
1, uses, 61
1, uses, 113
1, uses, 67
67, isa, 113
Question: In what context are clinical_drug, physiologic_function, and population_group connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"clinical_drug",
"physiologic_function",
"population_group"
],
"valid_edges": [
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"food",
"affects",
"physiologic_function"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"population_group",
"produces",
"clinical_drug"
],
[
"population_group",
"produces",
"manufactured_object"
],
[
"population_group",
"produces",
"research_device"
],
[
"population_group",
"uses",
"clinical_drug"
],
[
"population_group",
"uses",
"manufactured_object"
],
[
"population_group",
"uses",
"research_device"
],
[
"research_device",
"isa",
"manufactured_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
124, family_group
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
111, qualitative_concept
66, regulation_or_law
67, research_device
122, social_behavior
src, edge_attr, dst
69, isa, 50
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
48, isa, 17
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
42, isa, 17
42, isa, 70
91, isa, 69
91, isa, 50
10, isa, 17
10, property_of, 28
10, property_of, 124
53, isa, 69
53, isa, 50
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
66, affects, 28
66, affects, 124
66, isa, 17
67, isa, 113
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, isa, 69
122, isa, 64
122, isa, 50
Question: In what context are daily_or_recreational_activity, idea_or_concept, and manufactured_object connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"daily_or_recreational_activity",
"idea_or_concept",
"manufactured_object"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
75, food
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
12, individual_behavior
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
2, patient_or_disabled_group
126, physical_object
66, regulation_or_law
67, research_device
93, rickettsia_or_chlamydia
122, social_behavior
20, steroid
84, substance
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 12
28, exhibits, 122
28, interacts_with, 16
28, interacts_with, 2
28, isa, 17
28, isa, 16
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 12
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 12
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 10
64, associated_with, 2
64, isa, 69
61, isa, 113
61, isa, 126
24, isa, 69
68, contains, 61
68, isa, 126
107, isa, 69
124, exhibits, 64
124, exhibits, 12
124, exhibits, 122
124, interacts_with, 28
124, interacts_with, 16
124, interacts_with, 2
124, isa, 17
124, isa, 16
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 12
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 126
75, isa, 84
91, isa, 69
16, exhibits, 64
16, exhibits, 12
16, exhibits, 122
16, isa, 17
16, performs, 69
16, performs, 64
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 53
16, performs, 12
16, performs, 36
16, performs, 27
16, performs, 122
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 28
10, property_of, 124
10, property_of, 16
10, property_of, 2
53, isa, 69
12, affects, 64
12, affects, 122
12, associated_with, 28
12, associated_with, 124
12, associated_with, 16
12, associated_with, 10
12, associated_with, 2
12, isa, 69
12, isa, 64
12, process_of, 122
36, isa, 69
113, isa, 126
59, isa, 126
27, isa, 69
2, exhibits, 64
2, exhibits, 12
2, exhibits, 122
2, interacts_with, 16
2, isa, 17
2, isa, 16
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 53
2, performs, 12
2, performs, 36
2, performs, 27
2, performs, 122
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
66, affects, 28
66, affects, 124
66, affects, 16
66, affects, 2
67, isa, 126
93, isa, 126
122, affects, 64
122, affects, 12
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 10
122, associated_with, 2
122, isa, 69
122, isa, 64
20, ingredient_of, 61
20, isa, 126
20, isa, 84
84, ingredient_of, 61
84, isa, 126
Question: How are individual_behavior, rickettsia_or_chlamydia, and steroid related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"individual_behavior",
"rickettsia_or_chlamydia",
"steroid"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"individual_behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"interacts_with",
"group"
],
[
"age_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"isa",
"group"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"individual_behavior"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"individual_behavior"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"behavior",
"isa",
"activity"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"educational_activity",
"isa",
"activity"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"individual_behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"interacts_with",
"group"
],
[
"family_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"isa",
"group"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"individual_behavior"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"physical_object"
],
[
"food",
"isa",
"substance"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"group",
"exhibits",
"behavior"
],
[
"group",
"exhibits",
"individual_behavior"
],
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"behavior"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"health_care_activity"
],
[
"group",
"performs",
"individual_behavior"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"performs",
"social_behavior"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"group_attribute",
"property_of",
"group"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"individual_behavior",
"affects",
"behavior"
],
[
"individual_behavior",
"affects",
"social_behavior"
],
[
"individual_behavior",
"associated_with",
"age_group"
],
[
"individual_behavior",
"associated_with",
"family_group"
],
[
"individual_behavior",
"associated_with",
"group"
],
[
"individual_behavior",
"associated_with",
"group_attribute"
],
[
"individual_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"individual_behavior",
"isa",
"activity"
],
[
"individual_behavior",
"isa",
"behavior"
],
[
"individual_behavior",
"process_of",
"social_behavior"
],
[
"machine_activity",
"isa",
"activity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"individual_behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"interacts_with",
"group"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"isa",
"group"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"behavior"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"health_care_activity"
],
[
"patient_or_disabled_group",
"performs",
"individual_behavior"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"social_behavior"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"research_device",
"isa",
"physical_object"
],
[
"rickettsia_or_chlamydia",
"isa",
"physical_object"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"affects",
"individual_behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"group"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"steroid",
"ingredient_of",
"clinical_drug"
],
[
"steroid",
"isa",
"physical_object"
],
[
"steroid",
"isa",
"substance"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
105, anatomical_abnormality
58, occupation_or_discipline
src, edge_attr, dst
69, issue_in, 58
105, issue_in, 58
Question: How are activity, anatomical_abnormality, and occupation_or_discipline related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"activity",
"anatomical_abnormality",
"occupation_or_discipline"
],
"valid_edges": [
[
"activity",
"issue_in",
"occupation_or_discipline"
],
[
"anatomical_abnormality",
"issue_in",
"occupation_or_discipline"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
26, amino_acid_sequence
132, body_system
3, carbohydrate_sequence
15, cell_function
17, conceptual_entity
82, functional_concept
109, genetic_function
42, geographic_area
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
132, isa, 17
132, isa, 82
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
15, affects, 109
15, co-occurs_with, 109
15, occurs_in, 108
15, precedes, 109
15, process_of, 109
15, result_of, 109
82, isa, 17
82, isa, 70
109, affects, 15
109, occurs_in, 108
109, precedes, 15
109, process_of, 15
109, result_of, 15
42, isa, 17
42, isa, 70
42, isa, 79
70, isa, 17
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
111, isa, 17
111, isa, 70
79, isa, 17
79, isa, 70
108, conceptual_part_of, 15
108, isa, 17
108, isa, 70
Question: For what reason are cell_function, conceptual_entity, and genetic_function associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_function",
"conceptual_entity",
"genetic_function"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"cell_function",
"affects",
"genetic_function"
],
[
"cell_function",
"co-occurs_with",
"genetic_function"
],
[
"cell_function",
"occurs_in",
"temporal_concept"
],
[
"cell_function",
"precedes",
"genetic_function"
],
[
"cell_function",
"process_of",
"genetic_function"
],
[
"cell_function",
"result_of",
"genetic_function"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"genetic_function",
"affects",
"cell_function"
],
[
"genetic_function",
"occurs_in",
"temporal_concept"
],
[
"genetic_function",
"precedes",
"cell_function"
],
[
"genetic_function",
"process_of",
"cell_function"
],
[
"genetic_function",
"result_of",
"cell_function"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"conceptual_part_of",
"cell_function"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
127, animal
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
17, conceptual_entity
24, daily_or_recreational_activity
123, diagnostic_procedure
107, educational_activity
50, event
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
96, quantitative_concept
40, self_help_or_relief_organization
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
69, isa, 50
127, exhibits, 64
127, exhibits, 122
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 123
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 123
24, isa, 69
24, isa, 50
123, isa, 69
123, isa, 50
123, isa, 53
123, isa, 27
123, measures, 96
123, measures, 108
107, isa, 69
107, isa, 50
107, isa, 27
91, isa, 69
91, isa, 50
91, isa, 27
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 123
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 123
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, produces, 55
70, conceptual_part_of, 64
55, conceptual_part_of, 123
55, isa, 17
36, isa, 69
36, isa, 50
36, method_of, 123
27, isa, 69
27, isa, 50
31, carries_out, 123
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 123
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, produces, 55
41, carries_out, 123
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 123
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, produces, 55
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 123
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 42
96, measurement_of, 79
40, carries_out, 123
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 123
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, produces, 55
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
108, isa, 17
108, isa, 70
Question: For what reason are animal, diagnostic_procedure, and machine_activity associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"animal",
"diagnostic_procedure",
"machine_activity"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"animal",
"exhibits",
"behavior"
],
[
"animal",
"exhibits",
"social_behavior"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"location_of",
"diagnostic_procedure"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"location_of",
"diagnostic_procedure"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"diagnostic_procedure",
"isa",
"activity"
],
[
"diagnostic_procedure",
"isa",
"event"
],
[
"diagnostic_procedure",
"isa",
"health_care_activity"
],
[
"diagnostic_procedure",
"isa",
"occupational_activity"
],
[
"diagnostic_procedure",
"measures",
"quantitative_concept"
],
[
"diagnostic_procedure",
"measures",
"temporal_concept"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"diagnostic_procedure"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"diagnostic_procedure"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"intellectual_product",
"conceptual_part_of",
"diagnostic_procedure"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"diagnostic_procedure"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"diagnostic_procedure"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"diagnostic_procedure"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"professional_society",
"carries_out",
"diagnostic_procedure"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"diagnostic_procedure"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"diagnostic_procedure"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"self_help_or_relief_organization",
"carries_out",
"diagnostic_procedure"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"diagnostic_procedure"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
22, anatomical_structure
127, animal
94, body_location_or_region
103, body_space_or_junction
132, body_system
61, clinical_drug
17, conceptual_entity
88, embryonic_structure
43, environmental_effect_of_humans
50, event
89, finding
75, food
45, human_caused_phenomenon_or_process
70, idea_or_concept
113, manufactured_object
18, physiologic_function
96, quantitative_concept
67, research_device
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
22, part_of, 127
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 18
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 18
61, isa, 113
88, isa, 22
88, location_of, 18
88, part_of, 127
43, isa, 50
43, isa, 45
43, result_of, 45
43, result_of, 18
89, evaluation_of, 18
89, isa, 17
89, manifestation_of, 18
75, affects, 18
75, ingredient_of, 61
45, isa, 50
45, result_of, 43
45, result_of, 18
18, affects, 127
18, isa, 50
18, occurs_in, 108
18, process_of, 127
18, result_of, 43
18, result_of, 45
96, isa, 17
96, isa, 70
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 18
96, measurement_of, 79
67, isa, 113
108, isa, 17
108, isa, 70
Question: For what reason are animal, physiologic_function, and research_device associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"animal",
"physiologic_function",
"research_device"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"animal"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"location_of",
"physiologic_function"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"location_of",
"physiologic_function"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"location_of",
"physiologic_function"
],
[
"embryonic_structure",
"part_of",
"animal"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"physiologic_function"
],
[
"finding",
"evaluation_of",
"physiologic_function"
],
[
"finding",
"isa",
"conceptual_entity"
],
[
"finding",
"manifestation_of",
"physiologic_function"
],
[
"food",
"affects",
"physiologic_function"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"physiologic_function"
],
[
"physiologic_function",
"affects",
"animal"
],
[
"physiologic_function",
"isa",
"event"
],
[
"physiologic_function",
"occurs_in",
"temporal_concept"
],
[
"physiologic_function",
"process_of",
"animal"
],
[
"physiologic_function",
"result_of",
"environmental_effect_of_humans"
],
[
"physiologic_function",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"physiologic_function"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
26, amino_acid_sequence
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
3, carbohydrate_sequence
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
124, family_group
82, functional_concept
46, fungus
42, geographic_area
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
2, patient_or_disabled_group
126, physical_object
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
69, isa, 50
28, exhibits, 64
28, exhibits, 122
28, interacts_with, 16
28, interacts_with, 2
28, isa, 17
28, isa, 16
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 2
64, isa, 69
64, isa, 50
94, isa, 17
94, isa, 70
94, isa, 79
103, isa, 17
103, isa, 70
103, isa, 79
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
48, isa, 17
61, isa, 126
24, isa, 69
24, isa, 50
68, isa, 126
107, isa, 69
107, isa, 50
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, interacts_with, 16
124, interacts_with, 2
124, isa, 17
124, isa, 16
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
82, isa, 17
82, isa, 70
46, isa, 126
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 69
91, isa, 50
16, exhibits, 64
16, exhibits, 122
16, isa, 17
16, performs, 69
16, performs, 64
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 53
16, performs, 36
16, performs, 27
16, performs, 122
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 28
10, property_of, 124
10, property_of, 16
10, property_of, 2
53, isa, 69
53, isa, 50
128, isa, 17
128, manages, 2
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
36, isa, 69
36, isa, 50
113, isa, 126
59, isa, 126
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
27, isa, 69
27, isa, 50
2, exhibits, 64
2, exhibits, 122
2, interacts_with, 16
2, isa, 17
2, isa, 16
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 53
2, performs, 36
2, performs, 27
2, performs, 122
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
66, affects, 28
66, affects, 124
66, affects, 16
66, affects, 2
66, isa, 17
67, isa, 126
40, isa, 17
40, manages, 2
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 2
122, isa, 69
122, isa, 50
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: For what reason are daily_or_recreational_activity, fungus, and molecular_sequence associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"daily_or_recreational_activity",
"fungus",
"molecular_sequence"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"interacts_with",
"group"
],
[
"age_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"isa",
"group"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"interacts_with",
"group"
],
[
"family_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"isa",
"group"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"fungus",
"isa",
"physical_object"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"group",
"exhibits",
"behavior"
],
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"behavior"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"health_care_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"performs",
"social_behavior"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"group_attribute",
"property_of",
"group"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"manages",
"patient_or_disabled_group"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"interacts_with",
"group"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"isa",
"group"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"behavior"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"health_care_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"social_behavior"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"research_device",
"isa",
"physical_object"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"manages",
"patient_or_disabled_group"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"group"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"event"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
15, cell_function
13, indicator_reagent_or_diagnostic_aid
52, laboratory_or_test_result
src, edge_attr, dst
13, affects, 15
52, evaluation_of, 15
52, indicates, 15
52, manifestation_of, 15
52, measurement_of, 15
52, measurement_of, 13
Question: In what context are cell_function, indicator_reagent_or_diagnostic_aid, and laboratory_or_test_result connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_function",
"indicator_reagent_or_diagnostic_aid",
"laboratory_or_test_result"
],
"valid_edges": [
[
"indicator_reagent_or_diagnostic_aid",
"affects",
"cell_function"
],
[
"laboratory_or_test_result",
"evaluation_of",
"cell_function"
],
[
"laboratory_or_test_result",
"indicates",
"cell_function"
],
[
"laboratory_or_test_result",
"manifestation_of",
"cell_function"
],
[
"laboratory_or_test_result",
"measurement_of",
"cell_function"
],
[
"laboratory_or_test_result",
"measurement_of",
"indicator_reagent_or_diagnostic_aid"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
22, anatomical_structure
61, clinical_drug
88, embryonic_structure
75, food
72, pharmacologic_substance
84, substance
src, edge_attr, dst
88, isa, 22
75, ingredient_of, 61
75, isa, 84
72, disrupts, 88
72, ingredient_of, 61
72, isa, 84
84, ingredient_of, 61
Question: In what context are anatomical_structure, food, and pharmacologic_substance connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"food",
"pharmacologic_substance"
],
"valid_edges": [
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"pharmacologic_substance",
"disrupts",
"embryonic_structure"
],
[
"pharmacologic_substance",
"ingredient_of",
"clinical_drug"
],
[
"pharmacologic_substance",
"isa",
"substance"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
81, element_ion_or_isotope
50, event
124, family_group
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
48, isa, 17
48, isa, 55
61, isa, 113
68, contains, 61
81, ingredient_of, 61
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
42, isa, 17
42, isa, 70
10, isa, 17
10, property_of, 28
10, property_of, 124
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
66, affects, 28
66, affects, 124
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: How are conceptual_entity, element_ion_or_isotope, and geographic_area related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"conceptual_entity",
"element_ion_or_isotope",
"geographic_area"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"element_ion_or_isotope",
"ingredient_of",
"clinical_drug"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
130, bacterium
64, behavior
43, environmental_effect_of_humans
50, event
42, geographic_area
10, group_attribute
111, qualitative_concept
76, reptile
122, social_behavior
src, edge_attr, dst
69, isa, 50
130, interacts_with, 76
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
43, isa, 50
111, evaluation_of, 64
111, evaluation_of, 122
76, exhibits, 64
76, exhibits, 122
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: In what context are bacterium, environmental_effect_of_humans, and reptile connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bacterium",
"environmental_effect_of_humans",
"reptile"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"bacterium",
"interacts_with",
"reptile"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"reptile",
"exhibits",
"behavior"
],
[
"reptile",
"exhibits",
"social_behavior"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
64, behavior
62, disease_or_syndrome
114, vertebrate
src, edge_attr, dst
62, affects, 114
62, process_of, 114
62, result_of, 64
114, exhibits, 64
Question: How are behavior, disease_or_syndrome, and vertebrate related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"behavior",
"disease_or_syndrome",
"vertebrate"
],
"valid_edges": [
[
"disease_or_syndrome",
"affects",
"vertebrate"
],
[
"disease_or_syndrome",
"process_of",
"vertebrate"
],
[
"disease_or_syndrome",
"result_of",
"behavior"
],
[
"vertebrate",
"exhibits",
"behavior"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3, carbohydrate_sequence
53, health_care_activity
56, mental_process
src, edge_attr, dst
3, result_of, 56
53, affects, 56
Question: In what context are carbohydrate_sequence, health_care_activity, and mental_process connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate_sequence",
"health_care_activity",
"mental_process"
],
"valid_edges": [
[
"carbohydrate_sequence",
"result_of",
"mental_process"
],
[
"health_care_activity",
"affects",
"mental_process"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
65, biomedical_occupation_or_discipline
74, invertebrate
79, spatial_concept
src, edge_attr, dst
74, issue_in, 65
79, issue_in, 65
Question: For what reason are biomedical_occupation_or_discipline, invertebrate, and spatial_concept associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_occupation_or_discipline",
"invertebrate",
"spatial_concept"
],
"valid_edges": [
[
"invertebrate",
"issue_in",
"biomedical_occupation_or_discipline"
],
[
"spatial_concept",
"issue_in",
"biomedical_occupation_or_discipline"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
102, biologically_active_substance
15, cell_function
96, quantitative_concept
src, edge_attr, dst
102, affects, 15
102, complicates, 15
102, disrupts, 15
15, produces, 102
96, measurement_of, 15
Question: For what reason are biologically_active_substance, cell_function, and quantitative_concept associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biologically_active_substance",
"cell_function",
"quantitative_concept"
],
"valid_edges": [
[
"biologically_active_substance",
"affects",
"cell_function"
],
[
"biologically_active_substance",
"complicates",
"cell_function"
],
[
"biologically_active_substance",
"disrupts",
"cell_function"
],
[
"cell_function",
"produces",
"biologically_active_substance"
],
[
"quantitative_concept",
"measurement_of",
"cell_function"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
127, animal
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
23, professional_or_occupational_group
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
122, social_behavior
src, edge_attr, dst
69, isa, 50
127, exhibits, 64
127, exhibits, 122
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, associated_with, 23
64, isa, 69
64, isa, 50
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
42, isa, 17
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 23
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
23, exhibits, 64
23, exhibits, 122
23, isa, 17
23, manages, 128
23, manages, 31
23, manages, 41
23, manages, 40
23, performs, 69
23, performs, 64
23, performs, 24
23, performs, 107
23, performs, 91
23, performs, 53
23, performs, 36
23, performs, 27
23, performs, 122
23, produces, 48
23, produces, 61
23, produces, 68
23, produces, 55
23, produces, 113
23, produces, 59
23, produces, 66
23, produces, 67
23, uses, 48
23, uses, 61
23, uses, 68
23, uses, 55
23, uses, 113
23, uses, 59
23, uses, 66
23, uses, 67
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
66, affects, 128
66, affects, 31
66, affects, 23
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, associated_with, 23
122, isa, 69
122, isa, 64
122, isa, 50
Question: In what context are animal, daily_or_recreational_activity, and professional_or_occupational_group connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"animal",
"daily_or_recreational_activity",
"professional_or_occupational_group"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"animal",
"exhibits",
"behavior"
],
[
"animal",
"exhibits",
"social_behavior"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"associated_with",
"professional_or_occupational_group"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"professional_or_occupational_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_or_occupational_group",
"exhibits",
"behavior"
],
[
"professional_or_occupational_group",
"exhibits",
"social_behavior"
],
[
"professional_or_occupational_group",
"isa",
"conceptual_entity"
],
[
"professional_or_occupational_group",
"manages",
"health_care_related_organization"
],
[
"professional_or_occupational_group",
"manages",
"organization"
],
[
"professional_or_occupational_group",
"manages",
"professional_society"
],
[
"professional_or_occupational_group",
"manages",
"self_help_or_relief_organization"
],
[
"professional_or_occupational_group",
"performs",
"activity"
],
[
"professional_or_occupational_group",
"performs",
"behavior"
],
[
"professional_or_occupational_group",
"performs",
"daily_or_recreational_activity"
],
[
"professional_or_occupational_group",
"performs",
"educational_activity"
],
[
"professional_or_occupational_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"professional_or_occupational_group",
"performs",
"health_care_activity"
],
[
"professional_or_occupational_group",
"performs",
"machine_activity"
],
[
"professional_or_occupational_group",
"performs",
"occupational_activity"
],
[
"professional_or_occupational_group",
"performs",
"social_behavior"
],
[
"professional_or_occupational_group",
"produces",
"classification"
],
[
"professional_or_occupational_group",
"produces",
"clinical_drug"
],
[
"professional_or_occupational_group",
"produces",
"drug_delivery_device"
],
[
"professional_or_occupational_group",
"produces",
"intellectual_product"
],
[
"professional_or_occupational_group",
"produces",
"manufactured_object"
],
[
"professional_or_occupational_group",
"produces",
"medical_device"
],
[
"professional_or_occupational_group",
"produces",
"regulation_or_law"
],
[
"professional_or_occupational_group",
"produces",
"research_device"
],
[
"professional_or_occupational_group",
"uses",
"classification"
],
[
"professional_or_occupational_group",
"uses",
"clinical_drug"
],
[
"professional_or_occupational_group",
"uses",
"drug_delivery_device"
],
[
"professional_or_occupational_group",
"uses",
"intellectual_product"
],
[
"professional_or_occupational_group",
"uses",
"manufactured_object"
],
[
"professional_or_occupational_group",
"uses",
"medical_device"
],
[
"professional_or_occupational_group",
"uses",
"regulation_or_law"
],
[
"professional_or_occupational_group",
"uses",
"research_device"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_or_occupational_group"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"professional_or_occupational_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
22, anatomical_structure
127, animal
64, behavior
24, daily_or_recreational_activity
107, educational_activity
88, embryonic_structure
50, event
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
70, idea_or_concept
36, machine_activity
37, mammal
27, occupational_activity
111, qualitative_concept
122, social_behavior
src, edge_attr, dst
69, isa, 50
22, part_of, 127
22, part_of, 37
127, exhibits, 64
127, exhibits, 122
127, interacts_with, 37
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
88, isa, 22
88, part_of, 127
88, part_of, 37
91, isa, 69
91, isa, 50
53, isa, 69
53, isa, 50
70, conceptual_part_of, 64
36, isa, 69
36, isa, 50
37, exhibits, 64
37, exhibits, 122
37, isa, 127
27, isa, 69
27, isa, 50
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 70
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: How are animal, daily_or_recreational_activity, and mammal related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"animal",
"daily_or_recreational_activity",
"mammal"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"anatomical_structure",
"part_of",
"animal"
],
[
"anatomical_structure",
"part_of",
"mammal"
],
[
"animal",
"exhibits",
"behavior"
],
[
"animal",
"exhibits",
"social_behavior"
],
[
"animal",
"interacts_with",
"mammal"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"animal"
],
[
"embryonic_structure",
"part_of",
"mammal"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"mammal",
"exhibits",
"behavior"
],
[
"mammal",
"exhibits",
"social_behavior"
],
[
"mammal",
"isa",
"animal"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
6, chemical_viewed_structurally
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
43, environmental_effect_of_humans
50, event
124, family_group
75, food
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
45, human_caused_phenomenon_or_process
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
111, qualitative_concept
66, regulation_or_law
67, research_device
122, social_behavior
84, substance
src, edge_attr, dst
69, isa, 50
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
6, ingredient_of, 61
6, isa, 84
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
43, isa, 50
43, isa, 45
43, result_of, 45
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 84
42, isa, 17
42, isa, 70
91, isa, 69
91, isa, 50
10, isa, 17
10, property_of, 28
10, property_of, 124
53, isa, 69
53, isa, 50
45, isa, 50
45, result_of, 43
70, conceptual_part_of, 64
36, isa, 69
36, isa, 50
27, isa, 69
27, isa, 50
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
66, affects, 28
66, affects, 124
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
84, ingredient_of, 61
Question: For what reason are chemical_viewed_structurally, human_caused_phenomenon_or_process, and social_behavior associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"chemical_viewed_structurally",
"human_caused_phenomenon_or_process",
"social_behavior"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"chemical_viewed_structurally",
"ingredient_of",
"clinical_drug"
],
[
"chemical_viewed_structurally",
"isa",
"substance"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
42, geographic_area
70, idea_or_concept
51, organism_function
71, phenomenon_or_process
111, qualitative_concept
122, social_behavior
108, temporal_concept
src, edge_attr, dst
42, isa, 70
51, conceptual_part_of, 108
51, isa, 71
51, occurs_in, 108
51, result_of, 71
71, result_of, 51
111, evaluation_of, 122
111, isa, 70
122, associated_with, 42
108, conceptual_part_of, 51
108, isa, 70
Question: How are organism_function, phenomenon_or_process, and social_behavior related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"organism_function",
"phenomenon_or_process",
"social_behavior"
],
"valid_edges": [
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"organism_function",
"conceptual_part_of",
"temporal_concept"
],
[
"organism_function",
"isa",
"phenomenon_or_process"
],
[
"organism_function",
"occurs_in",
"temporal_concept"
],
[
"organism_function",
"result_of",
"phenomenon_or_process"
],
[
"phenomenon_or_process",
"result_of",
"organism_function"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"temporal_concept",
"conceptual_part_of",
"organism_function"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
58, occupation_or_discipline
1, population_group
108, temporal_concept
src, edge_attr, dst
1, issue_in, 58
108, issue_in, 58
Question: In what context are occupation_or_discipline, population_group, and temporal_concept connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"occupation_or_discipline",
"population_group",
"temporal_concept"
],
"valid_edges": [
[
"population_group",
"issue_in",
"occupation_or_discipline"
],
[
"temporal_concept",
"issue_in",
"occupation_or_discipline"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
25, amphibian
48, classification
24, daily_or_recreational_activity
107, educational_activity
91, governmental_or_regulatory_activity
128, health_care_related_organization
55, intellectual_product
31, organization
98, pathologic_function
41, professional_society
111, qualitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
src, edge_attr, dst
48, isa, 55
24, associated_with, 98
24, isa, 69
107, associated_with, 98
107, isa, 69
91, associated_with, 98
91, isa, 69
128, carries_out, 107
128, carries_out, 91
128, isa, 31
128, location_of, 107
128, location_of, 91
128, produces, 48
128, produces, 55
128, produces, 66
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
31, produces, 48
31, produces, 55
31, produces, 66
98, affects, 25
98, process_of, 25
41, carries_out, 107
41, carries_out, 91
41, isa, 31
41, location_of, 107
41, location_of, 91
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
40, carries_out, 107
40, carries_out, 91
40, isa, 31
40, location_of, 107
40, location_of, 91
40, produces, 48
40, produces, 55
40, produces, 66
Question: How are amphibian, pathologic_function, and regulation_or_law related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amphibian",
"pathologic_function",
"regulation_or_law"
],
"valid_edges": [
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"associated_with",
"pathologic_function"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"educational_activity",
"associated_with",
"pathologic_function"
],
[
"educational_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"associated_with",
"pathologic_function"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"pathologic_function",
"affects",
"amphibian"
],
[
"pathologic_function",
"process_of",
"amphibian"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
120, chemical
85, laboratory_procedure
118, organophosphorus_compound
src, edge_attr, dst
85, analyzes, 120
85, analyzes, 118
85, assesses_effect_of, 120
85, assesses_effect_of, 118
85, measures, 120
85, measures, 118
118, interacts_with, 120
118, isa, 120
Question: For what reason are chemical, laboratory_procedure, and organophosphorus_compound associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"chemical",
"laboratory_procedure",
"organophosphorus_compound"
],
"valid_edges": [
[
"laboratory_procedure",
"analyzes",
"chemical"
],
[
"laboratory_procedure",
"analyzes",
"organophosphorus_compound"
],
[
"laboratory_procedure",
"assesses_effect_of",
"chemical"
],
[
"laboratory_procedure",
"assesses_effect_of",
"organophosphorus_compound"
],
[
"laboratory_procedure",
"measures",
"chemical"
],
[
"laboratory_procedure",
"measures",
"organophosphorus_compound"
],
[
"organophosphorus_compound",
"interacts_with",
"chemical"
],
[
"organophosphorus_compound",
"isa",
"chemical"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
82, functional_concept
42, geographic_area
91, governmental_or_regulatory_activity
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
79, spatial_concept
src, edge_attr, dst
26, isa, 70
26, isa, 32
26, isa, 79
94, conceptual_part_of, 132
94, isa, 70
94, isa, 79
132, isa, 82
132, isa, 70
3, isa, 70
3, isa, 32
3, isa, 79
82, isa, 70
42, isa, 70
42, isa, 79
32, isa, 70
32, isa, 79
134, isa, 70
134, isa, 32
134, isa, 79
111, evaluation_of, 91
111, isa, 70
79, isa, 70
Question: In what context are body_location_or_region, governmental_or_regulatory_activity, and nucleotide_sequence connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_location_or_region",
"governmental_or_regulatory_activity",
"nucleotide_sequence"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
95, acquired_abnormality
61, clinical_drug
24, daily_or_recreational_activity
50, event
36, machine_activity
111, qualitative_concept
src, edge_attr, dst
61, causes, 95
24, associated_with, 95
24, isa, 50
36, isa, 50
111, evaluation_of, 24
111, evaluation_of, 36
Question: In what context are acquired_abnormality, clinical_drug, and event connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"acquired_abnormality",
"clinical_drug",
"event"
],
"valid_edges": [
[
"clinical_drug",
"causes",
"acquired_abnormality"
],
[
"daily_or_recreational_activity",
"associated_with",
"acquired_abnormality"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"machine_activity",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
25, amphibian
22, anatomical_structure
73, archaeon
64, behavior
121, biomedical_or_dental_material
116, bird
103, body_space_or_junction
129, body_substance
132, body_system
106, cell_component
61, clinical_drug
17, conceptual_entity
68, drug_delivery_device
81, element_ion_or_isotope
88, embryonic_structure
43, environmental_effect_of_humans
50, event
104, fish
75, food
70, idea_or_concept
13, indicator_reagent_or_diagnostic_aid
12, individual_behavior
14, inorganic_chemical
113, manufactured_object
126, physical_object
76, reptile
122, social_behavior
84, substance
src, edge_attr, dst
25, exhibits, 64
25, exhibits, 12
25, exhibits, 122
25, interacts_with, 73
25, interacts_with, 116
25, interacts_with, 104
25, interacts_with, 76
25, isa, 126
22, isa, 126
22, part_of, 25
22, part_of, 73
22, part_of, 116
22, part_of, 104
22, part_of, 76
73, isa, 126
64, isa, 50
121, ingredient_of, 61
121, interacts_with, 13
121, isa, 126
121, isa, 84
116, exhibits, 64
116, exhibits, 12
116, exhibits, 122
116, interacts_with, 73
116, interacts_with, 104
116, interacts_with, 76
116, isa, 126
103, conceptual_part_of, 132
103, contains, 129
103, isa, 17
103, isa, 70
103, location_of, 129
103, location_of, 106
129, conceptual_part_of, 132
129, ingredient_of, 61
129, isa, 126
129, isa, 84
129, surrounds, 88
132, isa, 17
132, isa, 70
106, adjacent_to, 103
106, conceptual_part_of, 132
106, contains, 129
106, isa, 22
106, isa, 126
106, location_of, 103
106, part_of, 25
106, part_of, 73
106, part_of, 116
106, part_of, 104
106, part_of, 76
106, produces, 129
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 126
81, ingredient_of, 61
81, interacts_with, 121
81, interacts_with, 13
81, interacts_with, 14
81, isa, 126
81, isa, 84
88, contains, 129
88, isa, 22
88, isa, 126
88, part_of, 25
88, part_of, 73
88, part_of, 116
88, part_of, 104
88, part_of, 76
43, isa, 50
104, exhibits, 64
104, exhibits, 12
104, exhibits, 122
104, interacts_with, 73
104, interacts_with, 76
104, isa, 126
75, ingredient_of, 61
75, isa, 126
75, isa, 84
13, ingredient_of, 61
13, isa, 126
13, isa, 84
12, isa, 50
14, ingredient_of, 61
14, interacts_with, 121
14, interacts_with, 13
14, isa, 126
14, isa, 84
113, isa, 126
76, exhibits, 64
76, exhibits, 12
76, exhibits, 122
76, interacts_with, 73
76, isa, 126
122, isa, 50
84, ingredient_of, 61
84, isa, 126
Question: In what context are cell_component, environmental_effect_of_humans, and indicator_reagent_or_diagnostic_aid connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_component",
"environmental_effect_of_humans",
"indicator_reagent_or_diagnostic_aid"
],
"valid_edges": [
[
"amphibian",
"exhibits",
"behavior"
],
[
"amphibian",
"exhibits",
"individual_behavior"
],
[
"amphibian",
"exhibits",
"social_behavior"
],
[
"amphibian",
"interacts_with",
"archaeon"
],
[
"amphibian",
"interacts_with",
"bird"
],
[
"amphibian",
"interacts_with",
"fish"
],
[
"amphibian",
"interacts_with",
"reptile"
],
[
"amphibian",
"isa",
"physical_object"
],
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"anatomical_structure",
"part_of",
"amphibian"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"anatomical_structure",
"part_of",
"bird"
],
[
"anatomical_structure",
"part_of",
"fish"
],
[
"anatomical_structure",
"part_of",
"reptile"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"behavior",
"isa",
"event"
],
[
"biomedical_or_dental_material",
"ingredient_of",
"clinical_drug"
],
[
"biomedical_or_dental_material",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"biomedical_or_dental_material",
"isa",
"physical_object"
],
[
"biomedical_or_dental_material",
"isa",
"substance"
],
[
"bird",
"exhibits",
"behavior"
],
[
"bird",
"exhibits",
"individual_behavior"
],
[
"bird",
"exhibits",
"social_behavior"
],
[
"bird",
"interacts_with",
"archaeon"
],
[
"bird",
"interacts_with",
"fish"
],
[
"bird",
"interacts_with",
"reptile"
],
[
"bird",
"isa",
"physical_object"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"contains",
"body_substance"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"location_of",
"body_substance"
],
[
"body_space_or_junction",
"location_of",
"cell_component"
],
[
"body_substance",
"conceptual_part_of",
"body_system"
],
[
"body_substance",
"ingredient_of",
"clinical_drug"
],
[
"body_substance",
"isa",
"physical_object"
],
[
"body_substance",
"isa",
"substance"
],
[
"body_substance",
"surrounds",
"embryonic_structure"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"cell_component",
"adjacent_to",
"body_space_or_junction"
],
[
"cell_component",
"conceptual_part_of",
"body_system"
],
[
"cell_component",
"contains",
"body_substance"
],
[
"cell_component",
"isa",
"anatomical_structure"
],
[
"cell_component",
"isa",
"physical_object"
],
[
"cell_component",
"location_of",
"body_space_or_junction"
],
[
"cell_component",
"part_of",
"amphibian"
],
[
"cell_component",
"part_of",
"archaeon"
],
[
"cell_component",
"part_of",
"bird"
],
[
"cell_component",
"part_of",
"fish"
],
[
"cell_component",
"part_of",
"reptile"
],
[
"cell_component",
"produces",
"body_substance"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"element_ion_or_isotope",
"ingredient_of",
"clinical_drug"
],
[
"element_ion_or_isotope",
"interacts_with",
"biomedical_or_dental_material"
],
[
"element_ion_or_isotope",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"element_ion_or_isotope",
"interacts_with",
"inorganic_chemical"
],
[
"element_ion_or_isotope",
"isa",
"physical_object"
],
[
"element_ion_or_isotope",
"isa",
"substance"
],
[
"embryonic_structure",
"contains",
"body_substance"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"isa",
"physical_object"
],
[
"embryonic_structure",
"part_of",
"amphibian"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"embryonic_structure",
"part_of",
"bird"
],
[
"embryonic_structure",
"part_of",
"fish"
],
[
"embryonic_structure",
"part_of",
"reptile"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"fish",
"exhibits",
"behavior"
],
[
"fish",
"exhibits",
"individual_behavior"
],
[
"fish",
"exhibits",
"social_behavior"
],
[
"fish",
"interacts_with",
"archaeon"
],
[
"fish",
"interacts_with",
"reptile"
],
[
"fish",
"isa",
"physical_object"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"physical_object"
],
[
"food",
"isa",
"substance"
],
[
"indicator_reagent_or_diagnostic_aid",
"ingredient_of",
"clinical_drug"
],
[
"indicator_reagent_or_diagnostic_aid",
"isa",
"physical_object"
],
[
"indicator_reagent_or_diagnostic_aid",
"isa",
"substance"
],
[
"individual_behavior",
"isa",
"event"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"inorganic_chemical",
"interacts_with",
"biomedical_or_dental_material"
],
[
"inorganic_chemical",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"inorganic_chemical",
"isa",
"physical_object"
],
[
"inorganic_chemical",
"isa",
"substance"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"reptile",
"exhibits",
"behavior"
],
[
"reptile",
"exhibits",
"individual_behavior"
],
[
"reptile",
"exhibits",
"social_behavior"
],
[
"reptile",
"interacts_with",
"archaeon"
],
[
"reptile",
"isa",
"physical_object"
],
[
"social_behavior",
"isa",
"event"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
64, behavior
121, biomedical_or_dental_material
97, injury_or_poisoning
src, edge_attr, dst
121, causes, 97
97, result_of, 64
Question: In what context are behavior, biomedical_or_dental_material, and injury_or_poisoning connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"behavior",
"biomedical_or_dental_material",
"injury_or_poisoning"
],
"valid_edges": [
[
"biomedical_or_dental_material",
"causes",
"injury_or_poisoning"
],
[
"injury_or_poisoning",
"result_of",
"behavior"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
48, classification
107, educational_activity
50, event
42, geographic_area
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
110, molecular_function
32, molecular_sequence
134, nucleotide_sequence
31, organization
41, professional_society
96, quantitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 70
26, isa, 79
94, conceptual_part_of, 132
94, isa, 70
94, isa, 79
94, location_of, 110
132, isa, 70
3, isa, 70
3, isa, 79
48, isa, 55
107, isa, 50
42, isa, 70
42, isa, 79
91, isa, 50
128, carries_out, 107
128, carries_out, 91
128, isa, 31
128, location_of, 107
128, location_of, 91
128, produces, 48
128, produces, 55
128, produces, 66
110, isa, 50
110, occurs_in, 108
32, isa, 70
32, isa, 79
134, isa, 70
134, isa, 79
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, isa, 31
41, location_of, 107
41, location_of, 91
41, produces, 48
41, produces, 55
41, produces, 66
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 110
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
40, carries_out, 107
40, carries_out, 91
40, isa, 31
40, location_of, 107
40, location_of, 91
40, produces, 48
40, produces, 55
40, produces, 66
79, isa, 70
108, isa, 70
Question: For what reason are classification, geographic_area, and molecular_function associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"classification",
"geographic_area",
"molecular_function"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"location_of",
"molecular_function"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"educational_activity",
"isa",
"event"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"molecular_function",
"isa",
"event"
],
[
"molecular_function",
"occurs_in",
"temporal_concept"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_function"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
26, amino_acid_sequence
22, anatomical_structure
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
88, embryonic_structure
50, event
82, functional_concept
42, geographic_area
10, group_attribute
100, human
70, idea_or_concept
74, invertebrate
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
96, quantitative_concept
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
22, part_of, 100
22, part_of, 74
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
94, isa, 17
94, isa, 70
94, isa, 79
103, isa, 17
103, isa, 70
103, isa, 79
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
88, isa, 22
88, part_of, 100
88, part_of, 74
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
10, isa, 17
100, exhibits, 64
100, exhibits, 122
70, conceptual_part_of, 64
70, isa, 17
74, exhibits, 64
74, exhibits, 122
74, interacts_with, 100
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
111, evaluation_of, 64
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: In what context are human, invertebrate, and nucleotide_sequence connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"human",
"invertebrate",
"nucleotide_sequence"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"anatomical_structure",
"part_of",
"human"
],
[
"anatomical_structure",
"part_of",
"invertebrate"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"human"
],
[
"embryonic_structure",
"part_of",
"invertebrate"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"human",
"exhibits",
"behavior"
],
[
"human",
"exhibits",
"social_behavior"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"invertebrate",
"exhibits",
"behavior"
],
[
"invertebrate",
"exhibits",
"social_behavior"
],
[
"invertebrate",
"interacts_with",
"human"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
65, biomedical_occupation_or_discipline
34, immunologic_factor
74, invertebrate
src, edge_attr, dst
34, issue_in, 65
74, issue_in, 65
Question: In what context are biomedical_occupation_or_discipline, immunologic_factor, and invertebrate connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_occupation_or_discipline",
"immunologic_factor",
"invertebrate"
],
"valid_edges": [
[
"immunologic_factor",
"issue_in",
"biomedical_occupation_or_discipline"
],
[
"invertebrate",
"issue_in",
"biomedical_occupation_or_discipline"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
75, food
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
119, organism
2, patient_or_disabled_group
126, physical_object
66, regulation_or_law
67, research_device
122, social_behavior
84, substance
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, interacts_with, 16
28, interacts_with, 2
28, isa, 17
28, isa, 16
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 10
64, associated_with, 2
64, isa, 69
48, isa, 17
48, isa, 55
61, isa, 113
61, isa, 126
24, isa, 69
68, contains, 61
68, isa, 113
68, isa, 59
68, isa, 126
107, isa, 69
107, isa, 27
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, interacts_with, 16
124, interacts_with, 2
124, isa, 17
124, isa, 16
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 126
91, isa, 69
91, isa, 27
16, exhibits, 64
16, exhibits, 122
16, isa, 17
16, performs, 69
16, performs, 64
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 53
16, performs, 36
16, performs, 27
16, performs, 122
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 28
10, property_of, 124
10, property_of, 16
10, property_of, 2
53, isa, 69
53, isa, 27
55, isa, 17
36, isa, 69
113, isa, 126
59, isa, 113
59, isa, 126
27, isa, 69
119, isa, 126
2, exhibits, 64
2, exhibits, 122
2, interacts_with, 16
2, isa, 17
2, isa, 16
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 53
2, performs, 36
2, performs, 27
2, performs, 122
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
66, affects, 28
66, affects, 124
66, affects, 16
66, affects, 2
66, isa, 17
66, isa, 55
67, isa, 113
67, isa, 126
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 10
122, associated_with, 2
122, isa, 69
122, isa, 64
84, ingredient_of, 61
84, isa, 126
Question: How are family_group, organism, and regulation_or_law related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"family_group",
"organism",
"regulation_or_law"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"interacts_with",
"group"
],
[
"age_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"isa",
"group"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"behavior",
"isa",
"activity"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"interacts_with",
"group"
],
[
"family_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"isa",
"group"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"physical_object"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group",
"exhibits",
"behavior"
],
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"behavior"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"health_care_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"performs",
"social_behavior"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"group_attribute",
"property_of",
"group"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"organism",
"isa",
"physical_object"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"interacts_with",
"group"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"isa",
"group"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"behavior"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"health_care_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"social_behavior"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"research_device",
"isa",
"physical_object"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"group"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
22, anatomical_structure
64, behavior
61, clinical_drug
17, conceptual_entity
107, educational_activity
88, embryonic_structure
50, event
75, food
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
99, hazardous_or_poisonous_substance
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
122, social_behavior
84, substance
114, vertebrate
src, edge_attr, dst
22, part_of, 114
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
88, isa, 22
88, part_of, 114
75, ingredient_of, 61
75, isa, 84
42, isa, 17
10, isa, 17
99, disrupts, 88
99, ingredient_of, 61
99, isa, 84
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, produces, 55
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, produces, 55
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, produces, 55
111, evaluation_of, 64
111, evaluation_of, 122
111, isa, 17
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, produces, 55
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
84, ingredient_of, 61
114, exhibits, 64
114, exhibits, 122
Question: For what reason are hazardous_or_poisonous_substance, intellectual_product, and vertebrate associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"hazardous_or_poisonous_substance",
"intellectual_product",
"vertebrate"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"vertebrate"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"vertebrate"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"hazardous_or_poisonous_substance",
"disrupts",
"embryonic_structure"
],
[
"hazardous_or_poisonous_substance",
"ingredient_of",
"clinical_drug"
],
[
"hazardous_or_poisonous_substance",
"isa",
"substance"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"vertebrate",
"exhibits",
"behavior"
],
[
"vertebrate",
"exhibits",
"social_behavior"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
28, age_group
64, behavior
61, clinical_drug
17, conceptual_entity
47, enzyme
124, family_group
42, geographic_area
70, idea_or_concept
30, language
111, qualitative_concept
79, spatial_concept
src, edge_attr, dst
28, isa, 17
28, produces, 61
28, uses, 61
64, associated_with, 42
47, ingredient_of, 61
124, isa, 17
124, produces, 61
124, uses, 61
42, isa, 17
42, isa, 70
42, isa, 79
70, conceptual_part_of, 64
70, isa, 17
30, isa, 17
111, isa, 17
111, isa, 70
79, isa, 17
79, isa, 70
Question: For what reason are enzyme, language, and spatial_concept associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"enzyme",
"language",
"spatial_concept"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"enzyme",
"ingredient_of",
"clinical_drug"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"language",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
61, clinical_drug
50, event
124, family_group
104, fish
75, food
42, geographic_area
10, group_attribute
14, inorganic_chemical
111, qualitative_concept
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, performs, 64
28, performs, 122
28, produces, 61
28, uses, 61
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
124, exhibits, 64
124, exhibits, 122
124, performs, 64
124, performs, 122
124, produces, 61
124, uses, 61
104, exhibits, 64
104, exhibits, 122
75, ingredient_of, 61
14, ingredient_of, 61
111, evaluation_of, 64
111, evaluation_of, 122
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: How are fish, food, and inorganic_chemical related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"fish",
"food",
"inorganic_chemical"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"fish",
"exhibits",
"behavior"
],
[
"fish",
"exhibits",
"social_behavior"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
6, chemical_viewed_structurally
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
43, environmental_effect_of_humans
50, event
75, food
91, governmental_or_regulatory_activity
16, group
10, group_attribute
128, health_care_related_organization
45, human_caused_phenomenon_or_process
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
84, substance
src, edge_attr, dst
69, isa, 50
6, ingredient_of, 61
6, isa, 84
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
43, isa, 50
43, isa, 45
43, result_of, 45
75, ingredient_of, 61
75, isa, 84
91, isa, 69
91, isa, 50
91, isa, 27
16, isa, 17
16, performs, 69
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 36
16, performs, 27
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 16
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
45, isa, 50
45, result_of, 43
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
66, affects, 16
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
84, ingredient_of, 61
Question: How are chemical_viewed_structurally, environmental_effect_of_humans, and group related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"chemical_viewed_structurally",
"environmental_effect_of_humans",
"group"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"chemical_viewed_structurally",
"ingredient_of",
"clinical_drug"
],
[
"chemical_viewed_structurally",
"isa",
"substance"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
28, age_group
22, anatomical_structure
73, archaeon
61, clinical_drug
17, conceptual_entity
68, drug_delivery_device
81, element_ion_or_isotope
88, embryonic_structure
124, family_group
75, food
42, geographic_area
16, group
70, idea_or_concept
113, manufactured_object
32, molecular_sequence
2, patient_or_disabled_group
126, physical_object
111, qualitative_concept
84, substance
src, edge_attr, dst
28, isa, 17
28, produces, 61
28, uses, 61
22, isa, 126
22, part_of, 73
73, isa, 126
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 126
81, ingredient_of, 61
81, isa, 126
81, isa, 84
88, isa, 22
88, isa, 126
88, part_of, 73
124, isa, 17
124, produces, 61
124, uses, 61
75, ingredient_of, 61
75, isa, 126
75, isa, 84
42, isa, 17
42, isa, 70
16, isa, 17
16, produces, 61
16, uses, 61
70, isa, 17
113, isa, 126
32, isa, 17
32, isa, 70
2, isa, 17
2, produces, 61
2, uses, 61
111, isa, 17
111, isa, 70
84, ingredient_of, 61
84, isa, 126
Question: In what context are element_ion_or_isotope, embryonic_structure, and molecular_sequence connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"element_ion_or_isotope",
"embryonic_structure",
"molecular_sequence"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"element_ion_or_isotope",
"ingredient_of",
"clinical_drug"
],
[
"element_ion_or_isotope",
"isa",
"physical_object"
],
[
"element_ion_or_isotope",
"isa",
"substance"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"isa",
"physical_object"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"physical_object"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"uses",
"clinical_drug"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
22, anatomical_structure
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
2, patient_or_disabled_group
126, physical_object
66, regulation_or_law
67, research_device
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, interacts_with, 16
28, interacts_with, 2
28, isa, 17
28, isa, 16
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
22, isa, 126
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 10
64, associated_with, 2
64, isa, 69
61, isa, 126
24, isa, 69
68, isa, 126
107, isa, 69
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, interacts_with, 16
124, interacts_with, 2
124, isa, 17
124, isa, 16
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
91, isa, 69
16, exhibits, 64
16, exhibits, 122
16, isa, 17
16, performs, 69
16, performs, 64
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 53
16, performs, 36
16, performs, 27
16, performs, 122
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 28
10, property_of, 124
10, property_of, 16
10, property_of, 2
53, isa, 69
36, isa, 69
113, isa, 126
59, isa, 126
27, isa, 69
2, exhibits, 64
2, exhibits, 122
2, interacts_with, 16
2, isa, 17
2, isa, 16
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 53
2, performs, 36
2, performs, 27
2, performs, 122
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
66, affects, 28
66, affects, 124
66, affects, 16
66, affects, 2
67, isa, 126
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 10
122, associated_with, 2
122, isa, 69
122, isa, 64
Question: For what reason are anatomical_structure, daily_or_recreational_activity, and social_behavior associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"daily_or_recreational_activity",
"social_behavior"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"interacts_with",
"group"
],
[
"age_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"isa",
"group"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"behavior",
"isa",
"activity"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"educational_activity",
"isa",
"activity"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"interacts_with",
"group"
],
[
"family_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"isa",
"group"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"group",
"exhibits",
"behavior"
],
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"behavior"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"health_care_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"performs",
"social_behavior"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"group_attribute",
"property_of",
"group"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"interacts_with",
"group"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"isa",
"group"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"behavior"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"health_care_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"social_behavior"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"research_device",
"isa",
"physical_object"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"group"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
26, amino_acid_sequence
3, carbohydrate_sequence
62, disease_or_syndrome
42, geographic_area
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
18, physiologic_function
79, spatial_concept
src, edge_attr, dst
26, isa, 70
26, isa, 32
26, isa, 79
3, isa, 70
3, isa, 32
3, isa, 79
62, affects, 18
62, manifestation_of, 18
62, process_of, 18
62, result_of, 18
42, associated_with, 62
42, isa, 70
42, isa, 79
32, isa, 70
32, isa, 79
134, isa, 70
134, isa, 32
134, isa, 79
18, affects, 62
18, process_of, 62
18, result_of, 62
79, isa, 70
Question: In what context are disease_or_syndrome, molecular_sequence, and physiologic_function connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"disease_or_syndrome",
"molecular_sequence",
"physiologic_function"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"disease_or_syndrome",
"affects",
"physiologic_function"
],
[
"disease_or_syndrome",
"manifestation_of",
"physiologic_function"
],
[
"disease_or_syndrome",
"process_of",
"physiologic_function"
],
[
"disease_or_syndrome",
"result_of",
"physiologic_function"
],
[
"geographic_area",
"associated_with",
"disease_or_syndrome"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"physiologic_function",
"affects",
"disease_or_syndrome"
],
[
"physiologic_function",
"process_of",
"disease_or_syndrome"
],
[
"physiologic_function",
"result_of",
"disease_or_syndrome"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
132, body_system
24, daily_or_recreational_activity
16, group
70, idea_or_concept
36, machine_activity
59, medical_device
111, qualitative_concept
src, edge_attr, dst
132, isa, 70
16, performs, 24
16, performs, 36
16, produces, 59
16, uses, 59
111, evaluation_of, 24
111, evaluation_of, 36
111, isa, 70
Question: How are body_system, group, and medical_device related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_system",
"group",
"medical_device"
],
"valid_edges": [
[
"body_system",
"isa",
"idea_or_concept"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"uses",
"medical_device"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
25, amphibian
64, behavior
24, daily_or_recreational_activity
107, educational_activity
43, environmental_effect_of_humans
50, event
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
45, human_caused_phenomenon_or_process
36, machine_activity
27, occupational_activity
31, organization
71, phenomenon_or_process
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
122, social_behavior
src, edge_attr, dst
69, isa, 50
25, exhibits, 64
25, exhibits, 122
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
43, isa, 50
43, isa, 45
43, isa, 71
43, result_of, 45
43, result_of, 71
91, isa, 69
91, isa, 50
91, isa, 27
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
45, isa, 50
45, isa, 71
45, result_of, 43
45, result_of, 71
36, isa, 69
36, isa, 50
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
71, isa, 50
71, result_of, 43
71, result_of, 45
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: In what context are amphibian, event, and phenomenon_or_process connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amphibian",
"event",
"phenomenon_or_process"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amphibian",
"exhibits",
"behavior"
],
[
"amphibian",
"exhibits",
"social_behavior"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"isa",
"phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"phenomenon_or_process"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"isa",
"phenomenon_or_process"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"phenomenon_or_process"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"phenomenon_or_process",
"isa",
"event"
],
[
"phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"phenomenon_or_process",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
17, conceptual_entity
82, functional_concept
52, laboratory_or_test_result
src, edge_attr, dst
82, isa, 17
52, isa, 17
Question: How are conceptual_entity, functional_concept, and laboratory_or_test_result related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"conceptual_entity",
"functional_concept",
"laboratory_or_test_result"
],
"valid_edges": [
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"laboratory_or_test_result",
"isa",
"conceptual_entity"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
88, embryonic_structure
43, environmental_effect_of_humans
97, injury_or_poisoning
src, edge_attr, dst
43, result_of, 97
97, disrupts, 88
97, result_of, 43
Question: For what reason are embryonic_structure, environmental_effect_of_humans, and injury_or_poisoning associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"embryonic_structure",
"environmental_effect_of_humans",
"injury_or_poisoning"
],
"valid_edges": [
[
"environmental_effect_of_humans",
"result_of",
"injury_or_poisoning"
],
[
"injury_or_poisoning",
"disrupts",
"embryonic_structure"
],
[
"injury_or_poisoning",
"result_of",
"environmental_effect_of_humans"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
26, amino_acid_sequence
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
24, daily_or_recreational_activity
107, educational_activity
50, event
82, functional_concept
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
36, machine_activity
37, mammal
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
96, quantitative_concept
40, self_help_or_relief_organization
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
69, isa, 50
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
70, conceptual_part_of, 64
70, isa, 17
36, isa, 69
36, isa, 50
37, exhibits, 64
37, exhibits, 122
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: How are health_care_activity, mammal, and spatial_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"health_care_activity",
"mammal",
"spatial_concept"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"mammal",
"exhibits",
"behavior"
],
[
"mammal",
"exhibits",
"social_behavior"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9, entity
82, functional_concept
56, mental_process
18, physiologic_function
src, edge_attr, dst
82, isa, 9
82, result_of, 56
56, affects, 18
56, co-occurs_with, 18
56, isa, 18
56, precedes, 18
56, process_of, 18
56, result_of, 18
18, affects, 56
18, precedes, 56
18, process_of, 56
18, result_of, 56
Question: For what reason are entity, mental_process, and physiologic_function associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"entity",
"mental_process",
"physiologic_function"
],
"valid_edges": [
[
"functional_concept",
"isa",
"entity"
],
[
"functional_concept",
"result_of",
"mental_process"
],
[
"mental_process",
"affects",
"physiologic_function"
],
[
"mental_process",
"co-occurs_with",
"physiologic_function"
],
[
"mental_process",
"isa",
"physiologic_function"
],
[
"mental_process",
"precedes",
"physiologic_function"
],
[
"mental_process",
"process_of",
"physiologic_function"
],
[
"mental_process",
"result_of",
"physiologic_function"
],
[
"physiologic_function",
"affects",
"mental_process"
],
[
"physiologic_function",
"precedes",
"mental_process"
],
[
"physiologic_function",
"process_of",
"mental_process"
],
[
"physiologic_function",
"result_of",
"mental_process"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
28, age_group
22, anatomical_structure
73, archaeon
61, clinical_drug
17, conceptual_entity
88, embryonic_structure
47, enzyme
124, family_group
89, finding
75, food
84, substance
src, edge_attr, dst
28, isa, 17
28, produces, 61
28, uses, 61
22, part_of, 73
88, isa, 22
88, part_of, 73
47, disrupts, 88
47, ingredient_of, 61
47, isa, 84
124, isa, 17
124, produces, 61
124, uses, 61
89, isa, 17
75, ingredient_of, 61
75, isa, 84
84, ingredient_of, 61
Question: For what reason are archaeon, enzyme, and finding associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"archaeon",
"enzyme",
"finding"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"enzyme",
"disrupts",
"embryonic_structure"
],
[
"enzyme",
"ingredient_of",
"clinical_drug"
],
[
"enzyme",
"isa",
"substance"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"finding",
"isa",
"conceptual_entity"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
91, governmental_or_regulatory_activity
10, group_attribute
128, health_care_related_organization
14, inorganic_chemical
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
131, organism_attribute
31, organization
2, patient_or_disabled_group
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 2
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, manages, 2
128, produces, 48
128, produces, 55
128, produces, 66
14, ingredient_of, 61
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
131, isa, 17
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
2, isa, 17
2, performs, 69
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 36
2, performs, 27
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
66, affects, 128
66, affects, 31
66, affects, 2
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, manages, 2
40, produces, 48
40, produces, 55
40, produces, 66
Question: In what context are inorganic_chemical, organism_attribute, and patient_or_disabled_group connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"inorganic_chemical",
"organism_attribute",
"patient_or_disabled_group"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"manages",
"patient_or_disabled_group"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organism_attribute",
"isa",
"conceptual_entity"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"manages",
"patient_or_disabled_group"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
92, cell
6, chemical_viewed_structurally
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
124, family_group
75, food
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
67, research_device
122, social_behavior
79, spatial_concept
84, substance
src, edge_attr, dst
69, isa, 50
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
94, adjacent_to, 103
94, conceptual_part_of, 132
103, conceptual_part_of, 132
103, interconnects, 92
103, isa, 17
103, isa, 70
103, isa, 79
103, surrounds, 92
132, isa, 17
132, isa, 70
92, conceptual_part_of, 132
92, location_of, 103
6, ingredient_of, 61
6, isa, 84
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 84
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 69
91, isa, 50
10, isa, 17
10, property_of, 28
10, property_of, 124
53, isa, 69
53, isa, 50
70, conceptual_part_of, 64
36, isa, 69
36, isa, 50
27, isa, 69
27, isa, 50
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, measurement_of, 103
96, measurement_of, 42
66, affects, 28
66, affects, 124
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
84, ingredient_of, 61
Question: How are cell, chemical_viewed_structurally, and social_behavior related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell",
"chemical_viewed_structurally",
"social_behavior"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"interconnects",
"cell"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"surrounds",
"cell"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"cell",
"conceptual_part_of",
"body_system"
],
[
"cell",
"location_of",
"body_space_or_junction"
],
[
"chemical_viewed_structurally",
"ingredient_of",
"clinical_drug"
],
[
"chemical_viewed_structurally",
"isa",
"substance"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
105, anatomical_abnormality
85, laboratory_procedure
2, patient_or_disabled_group
src, edge_attr, dst
105, occurs_in, 2
105, result_of, 85
85, associated_with, 105
85, diagnoses, 105
2, performs, 85
Question: How are anatomical_abnormality, laboratory_procedure, and patient_or_disabled_group related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_abnormality",
"laboratory_procedure",
"patient_or_disabled_group"
],
"valid_edges": [
[
"anatomical_abnormality",
"occurs_in",
"patient_or_disabled_group"
],
[
"anatomical_abnormality",
"result_of",
"laboratory_procedure"
],
[
"laboratory_procedure",
"associated_with",
"anatomical_abnormality"
],
[
"laboratory_procedure",
"diagnoses",
"anatomical_abnormality"
],
[
"patient_or_disabled_group",
"performs",
"laboratory_procedure"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
130, bacterium
6, chemical_viewed_structurally
29, neoplastic_process
src, edge_attr, dst
130, causes, 29
6, affects, 29
6, causes, 29
29, affects, 130
29, process_of, 130
Question: For what reason are bacterium, chemical_viewed_structurally, and neoplastic_process associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bacterium",
"chemical_viewed_structurally",
"neoplastic_process"
],
"valid_edges": [
[
"bacterium",
"causes",
"neoplastic_process"
],
[
"chemical_viewed_structurally",
"affects",
"neoplastic_process"
],
[
"chemical_viewed_structurally",
"causes",
"neoplastic_process"
],
[
"neoplastic_process",
"affects",
"bacterium"
],
[
"neoplastic_process",
"process_of",
"bacterium"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
26, amino_acid_sequence
64, behavior
116, bird
94, body_location_or_region
103, body_space_or_junction
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
24, daily_or_recreational_activity
107, educational_activity
50, event
82, functional_concept
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
36, machine_activity
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
96, quantitative_concept
40, self_help_or_relief_organization
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
69, isa, 50
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
116, exhibits, 64
116, exhibits, 122
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
70, conceptual_part_of, 64
70, isa, 17
36, isa, 69
36, isa, 50
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: How are bird, governmental_or_regulatory_activity, and spatial_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bird",
"governmental_or_regulatory_activity",
"spatial_concept"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"bird",
"exhibits",
"behavior"
],
[
"bird",
"exhibits",
"social_behavior"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
110, molecular_function
31, organization
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
31, carries_out, 7
31, location_of, 7
7, affects, 110
7, complicates, 110
Question: In what context are molecular_function, organization, and therapeutic_or_preventive_procedure connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"molecular_function",
"organization",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"organization",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"organization",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"therapeutic_or_preventive_procedure",
"affects",
"molecular_function"
],
[
"therapeutic_or_preventive_procedure",
"complicates",
"molecular_function"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
90, antibiotic
94, body_location_or_region
48, classification
24, daily_or_recreational_activity
107, educational_activity
50, event
91, governmental_or_regulatory_activity
128, health_care_related_organization
45, human_caused_phenomenon_or_process
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
31, organization
41, professional_society
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
79, spatial_concept
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
69, isa, 50
94, isa, 70
94, isa, 79
94, location_of, 7
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
91, isa, 69
91, isa, 50
128, carries_out, 107
128, carries_out, 91
128, carries_out, 7
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 7
128, produces, 48
128, produces, 55
128, produces, 66
45, isa, 50
36, isa, 69
36, isa, 50
36, method_of, 7
31, carries_out, 107
31, carries_out, 91
31, carries_out, 7
31, location_of, 107
31, location_of, 91
31, location_of, 7
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, carries_out, 7
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 7
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 7
111, isa, 70
96, conceptual_part_of, 7
96, isa, 70
96, measurement_of, 94
96, measurement_of, 79
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 7
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 7
40, produces, 48
40, produces, 55
40, produces, 66
7, isa, 69
7, isa, 50
7, uses, 90
7, uses, 113
7, uses, 67
Question: How are antibiotic, human_caused_phenomenon_or_process, and therapeutic_or_preventive_procedure related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"antibiotic",
"human_caused_phenomenon_or_process",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"therapeutic_or_preventive_procedure"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"therapeutic_or_preventive_procedure"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"conceptual_part_of",
"therapeutic_or_preventive_procedure"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"therapeutic_or_preventive_procedure",
"isa",
"activity"
],
[
"therapeutic_or_preventive_procedure",
"isa",
"event"
],
[
"therapeutic_or_preventive_procedure",
"uses",
"antibiotic"
],
[
"therapeutic_or_preventive_procedure",
"uses",
"manufactured_object"
],
[
"therapeutic_or_preventive_procedure",
"uses",
"research_device"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
130, bacterium
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
2, patient_or_disabled_group
126, physical_object
66, regulation_or_law
67, research_device
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, interacts_with, 16
28, interacts_with, 2
28, isa, 17
28, isa, 16
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
130, isa, 126
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 10
64, associated_with, 2
64, isa, 69
48, isa, 17
48, isa, 55
61, isa, 126
68, isa, 126
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, interacts_with, 16
124, interacts_with, 2
124, isa, 17
124, isa, 16
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
16, exhibits, 64
16, exhibits, 122
16, isa, 17
16, performs, 69
16, performs, 64
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 53
16, performs, 36
16, performs, 27
16, performs, 122
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 28
10, property_of, 124
10, property_of, 16
10, property_of, 2
55, isa, 17
113, isa, 126
59, isa, 126
2, exhibits, 64
2, exhibits, 122
2, interacts_with, 16
2, isa, 17
2, isa, 16
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 53
2, performs, 36
2, performs, 27
2, performs, 122
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
66, affects, 28
66, affects, 124
66, affects, 16
66, affects, 2
66, isa, 17
66, isa, 55
67, isa, 126
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 10
122, associated_with, 2
122, isa, 69
122, isa, 64
Question: In what context are bacterium, conceptual_entity, and group_attribute connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bacterium",
"conceptual_entity",
"group_attribute"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"interacts_with",
"group"
],
[
"age_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"isa",
"group"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"bacterium",
"isa",
"physical_object"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"behavior",
"isa",
"activity"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"interacts_with",
"group"
],
[
"family_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"isa",
"group"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"group",
"exhibits",
"behavior"
],
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"behavior"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"health_care_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"performs",
"social_behavior"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"group_attribute",
"property_of",
"group"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"interacts_with",
"group"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"isa",
"group"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"behavior"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"health_care_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"social_behavior"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"physical_object"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"group"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
49, clinical_attribute
58, occupation_or_discipline
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
49, issue_in, 58
7, issue_in, 58
7, method_of, 58
Question: In what context are clinical_attribute, occupation_or_discipline, and therapeutic_or_preventive_procedure connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"clinical_attribute",
"occupation_or_discipline",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"clinical_attribute",
"issue_in",
"occupation_or_discipline"
],
[
"therapeutic_or_preventive_procedure",
"issue_in",
"occupation_or_discipline"
],
[
"therapeutic_or_preventive_procedure",
"method_of",
"occupation_or_discipline"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
61, clinical_drug
75, food
109, genetic_function
45, human_caused_phenomenon_or_process
113, manufactured_object
84, substance
src, edge_attr, dst
61, isa, 113
75, affects, 109
75, ingredient_of, 61
75, isa, 84
109, result_of, 45
45, result_of, 109
84, ingredient_of, 61
Question: In what context are genetic_function, human_caused_phenomenon_or_process, and manufactured_object connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"genetic_function",
"human_caused_phenomenon_or_process",
"manufactured_object"
],
"valid_edges": [
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"food",
"affects",
"genetic_function"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"genetic_function",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"genetic_function"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
124, family_group
75, food
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
111, qualitative_concept
66, regulation_or_law
67, research_device
122, social_behavior
20, steroid
84, substance
0, vitamin
src, edge_attr, dst
69, isa, 50
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 84
42, isa, 17
42, isa, 70
91, isa, 69
91, isa, 50
10, isa, 17
10, property_of, 28
10, property_of, 124
53, isa, 69
53, isa, 50
70, conceptual_part_of, 64
36, isa, 69
36, isa, 50
27, isa, 69
27, isa, 50
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
111, isa, 70
66, affects, 28
66, affects, 124
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
20, ingredient_of, 61
20, interacts_with, 0
20, isa, 84
84, ingredient_of, 61
0, ingredient_of, 61
0, isa, 84
Question: For what reason are social_behavior, steroid, and vitamin associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"social_behavior",
"steroid",
"vitamin"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"steroid",
"ingredient_of",
"clinical_drug"
],
[
"steroid",
"interacts_with",
"vitamin"
],
[
"steroid",
"isa",
"substance"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"vitamin",
"ingredient_of",
"clinical_drug"
],
[
"vitamin",
"isa",
"substance"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
28, age_group
26, amino_acid_sequence
64, behavior
61, clinical_drug
17, conceptual_entity
81, element_ion_or_isotope
124, family_group
42, geographic_area
70, idea_or_concept
111, qualitative_concept
79, spatial_concept
src, edge_attr, dst
28, isa, 17
28, produces, 61
28, uses, 61
26, isa, 17
26, isa, 70
26, isa, 79
64, associated_with, 42
81, ingredient_of, 61
124, isa, 17
124, produces, 61
124, uses, 61
42, isa, 17
42, isa, 70
42, isa, 79
70, conceptual_part_of, 64
70, isa, 17
111, isa, 17
111, isa, 70
79, isa, 17
79, isa, 70
Question: How are amino_acid_sequence, element_ion_or_isotope, and spatial_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_sequence",
"element_ion_or_isotope",
"spatial_concept"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"element_ion_or_isotope",
"ingredient_of",
"clinical_drug"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
88, embryonic_structure
50, event
124, family_group
75, food
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
70, idea_or_concept
34, immunologic_factor
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
72, pharmacologic_substance
111, qualitative_concept
66, regulation_or_law
67, research_device
122, social_behavior
84, substance
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
48, isa, 17
61, isa, 113
68, contains, 61
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 84
42, isa, 17
10, isa, 17
10, property_of, 28
10, property_of, 124
70, conceptual_part_of, 64
70, isa, 17
34, disrupts, 88
34, ingredient_of, 61
34, isa, 84
55, isa, 17
72, disrupts, 88
72, ingredient_of, 61
72, interacts_with, 34
72, isa, 84
111, evaluation_of, 64
111, evaluation_of, 122
111, isa, 17
66, affects, 28
66, affects, 124
66, isa, 17
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
84, ingredient_of, 61
Question: How are group_attribute, immunologic_factor, and pharmacologic_substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"group_attribute",
"immunologic_factor",
"pharmacologic_substance"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"immunologic_factor",
"disrupts",
"embryonic_structure"
],
[
"immunologic_factor",
"ingredient_of",
"clinical_drug"
],
[
"immunologic_factor",
"isa",
"substance"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"pharmacologic_substance",
"disrupts",
"embryonic_structure"
],
[
"pharmacologic_substance",
"ingredient_of",
"clinical_drug"
],
[
"pharmacologic_substance",
"interacts_with",
"immunologic_factor"
],
[
"pharmacologic_substance",
"isa",
"substance"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
57, amino_acid_peptide_or_protein
35, gene_or_genome
14, inorganic_chemical
src, edge_attr, dst
57, interacts_with, 14
35, produces, 57
Question: For what reason are amino_acid_peptide_or_protein, gene_or_genome, and inorganic_chemical associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_peptide_or_protein",
"gene_or_genome",
"inorganic_chemical"
],
"valid_edges": [
[
"amino_acid_peptide_or_protein",
"interacts_with",
"inorganic_chemical"
],
[
"gene_or_genome",
"produces",
"amino_acid_peptide_or_protein"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
16, group
19, molecular_biology_research_technique
122, social_behavior
src, edge_attr, dst
16, exhibits, 122
16, performs, 19
16, performs, 122
122, associated_with, 16
Question: For what reason are group, molecular_biology_research_technique, and social_behavior associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"group",
"molecular_biology_research_technique",
"social_behavior"
],
"valid_edges": [
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"performs",
"molecular_biology_research_technique"
],
[
"group",
"performs",
"social_behavior"
],
[
"social_behavior",
"associated_with",
"group"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
130, bacterium
11, cell_or_molecular_dysfunction
123, diagnostic_procedure
src, edge_attr, dst
130, causes, 11
11, affects, 130
11, process_of, 130
11, result_of, 123
123, affects, 11
123, associated_with, 11
123, diagnoses, 11
123, measures, 11
Question: How are bacterium, cell_or_molecular_dysfunction, and diagnostic_procedure related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bacterium",
"cell_or_molecular_dysfunction",
"diagnostic_procedure"
],
"valid_edges": [
[
"bacterium",
"causes",
"cell_or_molecular_dysfunction"
],
[
"cell_or_molecular_dysfunction",
"affects",
"bacterium"
],
[
"cell_or_molecular_dysfunction",
"process_of",
"bacterium"
],
[
"cell_or_molecular_dysfunction",
"result_of",
"diagnostic_procedure"
],
[
"diagnostic_procedure",
"affects",
"cell_or_molecular_dysfunction"
],
[
"diagnostic_procedure",
"associated_with",
"cell_or_molecular_dysfunction"
],
[
"diagnostic_procedure",
"diagnoses",
"cell_or_molecular_dysfunction"
],
[
"diagnostic_procedure",
"measures",
"cell_or_molecular_dysfunction"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
75, food
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
72, pharmacologic_substance
41, professional_society
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
122, social_behavior
84, substance
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
64, associated_with, 28
64, associated_with, 124
48, isa, 17
48, isa, 55
61, isa, 113
68, contains, 61
68, isa, 113
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
75, ingredient_of, 61
75, isa, 84
10, isa, 17
10, property_of, 28
10, property_of, 124
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
55, isa, 17
59, isa, 113
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
72, ingredient_of, 61
72, isa, 84
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
66, affects, 28
66, affects, 124
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
122, associated_with, 28
122, associated_with, 124
84, ingredient_of, 61
Question: In what context are pharmacologic_substance, regulation_or_law, and research_device connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"pharmacologic_substance",
"regulation_or_law",
"research_device"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"pharmacologic_substance",
"ingredient_of",
"clinical_drug"
],
[
"pharmacologic_substance",
"isa",
"substance"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
61, clinical_drug
50, event
124, family_group
42, geographic_area
10, group_attribute
37, mammal
38, organic_chemical
111, qualitative_concept
76, reptile
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, performs, 64
28, performs, 122
28, produces, 61
28, uses, 61
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
124, exhibits, 64
124, exhibits, 122
124, performs, 64
124, performs, 122
124, produces, 61
124, uses, 61
37, exhibits, 64
37, exhibits, 122
38, ingredient_of, 61
111, evaluation_of, 64
111, evaluation_of, 122
76, exhibits, 64
76, exhibits, 122
76, interacts_with, 37
122, affects, 64
122, associated_with, 28
122, associated_with, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: In what context are mammal, organic_chemical, and reptile connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"mammal",
"organic_chemical",
"reptile"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"mammal",
"exhibits",
"behavior"
],
[
"mammal",
"exhibits",
"social_behavior"
],
[
"organic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"reptile",
"exhibits",
"behavior"
],
[
"reptile",
"exhibits",
"social_behavior"
],
[
"reptile",
"interacts_with",
"mammal"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
26, amino_acid_sequence
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
3, carbohydrate_sequence
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
82, functional_concept
35, gene_or_genome
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
67, research_device
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, isa, 17
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
26, property_of, 35
64, associated_with, 28
64, associated_with, 124
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
132, isa, 17
132, isa, 82
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 79
48, isa, 17
61, isa, 113
68, isa, 113
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, isa, 17
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
10, isa, 17
10, property_of, 28
10, property_of, 124
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
59, isa, 113
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
134, property_of, 35
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
66, affects, 28
66, affects, 124
66, isa, 17
67, isa, 113
122, associated_with, 28
122, associated_with, 124
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: For what reason are body_space_or_junction, gene_or_genome, and research_device associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_space_or_junction",
"gene_or_genome",
"research_device"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"amino_acid_sequence",
"property_of",
"gene_or_genome"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"property_of",
"gene_or_genome"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
22, anatomical_structure
48, classification
61, clinical_drug
17, conceptual_entity
107, educational_activity
88, embryonic_structure
50, event
124, family_group
75, food
91, governmental_or_regulatory_activity
53, health_care_activity
128, health_care_related_organization
55, intellectual_product
27, occupational_activity
31, organization
72, pharmacologic_substance
41, professional_society
111, qualitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
84, substance
src, edge_attr, dst
28, isa, 17
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 27
28, produces, 48
28, produces, 61
28, produces, 55
28, produces, 66
28, uses, 48
28, uses, 61
28, uses, 55
28, uses, 66
48, isa, 17
48, isa, 55
107, isa, 69
107, isa, 50
107, isa, 27
88, isa, 22
124, isa, 17
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 27
124, produces, 48
124, produces, 61
124, produces, 55
124, produces, 66
124, uses, 48
124, uses, 61
124, uses, 55
124, uses, 66
75, ingredient_of, 61
75, isa, 84
91, isa, 69
91, isa, 50
91, isa, 27
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
55, isa, 17
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
72, disrupts, 88
72, ingredient_of, 61
72, isa, 84
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 27
111, isa, 17
66, affects, 28
66, affects, 124
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
84, ingredient_of, 61
Question: In what context are anatomical_structure, pharmacologic_substance, and self_help_or_relief_organization connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"pharmacologic_substance",
"self_help_or_relief_organization"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"pharmacologic_substance",
"disrupts",
"embryonic_structure"
],
[
"pharmacologic_substance",
"ingredient_of",
"clinical_drug"
],
[
"pharmacologic_substance",
"isa",
"substance"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
26, amino_acid_sequence
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
50, event
89, finding
82, functional_concept
42, geographic_area
70, idea_or_concept
32, molecular_sequence
54, natural_phenomenon_or_process
134, nucleotide_sequence
111, qualitative_concept
96, quantitative_concept
122, social_behavior
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
64, associated_with, 42
64, isa, 50
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
89, isa, 17
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
70, conceptual_part_of, 64
70, isa, 17
32, isa, 17
32, isa, 70
32, isa, 79
54, isa, 50
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
122, associated_with, 42
122, isa, 50
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: In what context are finding, natural_phenomenon_or_process, and quantitative_concept connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"finding",
"natural_phenomenon_or_process",
"quantitative_concept"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"isa",
"event"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"finding",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"natural_phenomenon_or_process",
"isa",
"event"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"isa",
"event"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
48, classification
17, conceptual_entity
107, educational_activity
50, event
82, functional_concept
42, geographic_area
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
31, organization
71, phenomenon_or_process
41, professional_society
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
94, isa, 17
94, isa, 70
94, isa, 79
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
48, isa, 17
48, isa, 55
107, isa, 50
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 50
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
70, isa, 17
55, isa, 17
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
71, isa, 50
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: How are amino_acid_sequence, classification, and phenomenon_or_process related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_sequence",
"classification",
"phenomenon_or_process"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"educational_activity",
"isa",
"event"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"phenomenon_or_process",
"isa",
"event"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
120, chemical
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
75, food
91, governmental_or_regulatory_activity
16, group
10, group_attribute
128, health_care_related_organization
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
84, substance
0, vitamin
src, edge_attr, dst
69, isa, 50
120, ingredient_of, 61
120, isa, 84
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
75, ingredient_of, 61
75, isa, 84
91, isa, 69
91, isa, 50
91, isa, 27
16, isa, 17
16, performs, 69
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 36
16, performs, 27
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, isa, 17
10, property_of, 16
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
66, affects, 16
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
84, ingredient_of, 61
0, ingredient_of, 61
0, interacts_with, 120
0, isa, 120
0, isa, 84
Question: In what context are chemical, group, and vitamin connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"chemical",
"group",
"vitamin"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"chemical",
"ingredient_of",
"clinical_drug"
],
[
"chemical",
"isa",
"substance"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"vitamin",
"ingredient_of",
"clinical_drug"
],
[
"vitamin",
"interacts_with",
"chemical"
],
[
"vitamin",
"isa",
"chemical"
],
[
"vitamin",
"isa",
"substance"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
24, daily_or_recreational_activity
86, experimental_model_of_disease
42, geographic_area
70, idea_or_concept
111, qualitative_concept
93, rickettsia_or_chlamydia
79, spatial_concept
src, edge_attr, dst
24, associated_with, 86
86, affects, 93
86, process_of, 93
42, associated_with, 86
42, isa, 70
42, isa, 79
111, evaluation_of, 24
111, isa, 70
93, causes, 86
79, isa, 70
Question: How are experimental_model_of_disease, qualitative_concept, and rickettsia_or_chlamydia related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"experimental_model_of_disease",
"qualitative_concept",
"rickettsia_or_chlamydia"
],
"valid_edges": [
[
"daily_or_recreational_activity",
"associated_with",
"experimental_model_of_disease"
],
[
"experimental_model_of_disease",
"affects",
"rickettsia_or_chlamydia"
],
[
"experimental_model_of_disease",
"process_of",
"rickettsia_or_chlamydia"
],
[
"geographic_area",
"associated_with",
"experimental_model_of_disease"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"rickettsia_or_chlamydia",
"causes",
"experimental_model_of_disease"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
112, alga
130, bacterium
44, body_part_organ_or_organ_component
src, edge_attr, dst
112, interacts_with, 130
44, location_of, 130
44, part_of, 112
44, part_of, 130
Question: In what context are alga, bacterium, and body_part_organ_or_organ_component connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"alga",
"bacterium",
"body_part_organ_or_organ_component"
],
"valid_edges": [
[
"alga",
"interacts_with",
"bacterium"
],
[
"body_part_organ_or_organ_component",
"location_of",
"bacterium"
],
[
"body_part_organ_or_organ_component",
"part_of",
"alga"
],
[
"body_part_organ_or_organ_component",
"part_of",
"bacterium"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
94, body_location_or_region
103, body_space_or_junction
132, body_system
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
123, diagnostic_procedure
68, drug_delivery_device
107, educational_activity
50, event
75, food
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
79, spatial_concept
84, substance
108, temporal_concept
src, edge_attr, dst
69, isa, 50
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 123
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 123
132, isa, 17
132, isa, 70
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
123, isa, 69
123, isa, 50
123, isa, 27
123, measures, 96
123, measures, 108
123, uses, 61
123, uses, 68
123, uses, 113
123, uses, 59
123, uses, 67
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
75, ingredient_of, 61
75, isa, 84
91, isa, 69
91, isa, 50
91, isa, 27
128, carries_out, 123
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 123
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
70, isa, 17
55, conceptual_part_of, 123
55, isa, 17
36, isa, 69
36, isa, 50
36, method_of, 123
59, isa, 113
27, isa, 69
27, isa, 50
31, carries_out, 123
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 123
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 123
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 123
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 123
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 79
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 123
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 123
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
79, isa, 17
79, isa, 70
84, ingredient_of, 61
108, isa, 17
108, isa, 70
Question: How are diagnostic_procedure, quantitative_concept, and substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"diagnostic_procedure",
"quantitative_concept",
"substance"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"body_location_or_region",
"adjacent_to",
"body_space_or_junction"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"location_of",
"diagnostic_procedure"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"location_of",
"diagnostic_procedure"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"diagnostic_procedure",
"isa",
"activity"
],
[
"diagnostic_procedure",
"isa",
"event"
],
[
"diagnostic_procedure",
"isa",
"occupational_activity"
],
[
"diagnostic_procedure",
"measures",
"quantitative_concept"
],
[
"diagnostic_procedure",
"measures",
"temporal_concept"
],
[
"diagnostic_procedure",
"uses",
"clinical_drug"
],
[
"diagnostic_procedure",
"uses",
"drug_delivery_device"
],
[
"diagnostic_procedure",
"uses",
"manufactured_object"
],
[
"diagnostic_procedure",
"uses",
"medical_device"
],
[
"diagnostic_procedure",
"uses",
"research_device"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"diagnostic_procedure"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"diagnostic_procedure"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"conceptual_part_of",
"diagnostic_procedure"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"diagnostic_procedure"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"diagnostic_procedure"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"diagnostic_procedure"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"diagnostic_procedure"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"diagnostic_procedure"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"diagnostic_procedure"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"diagnostic_procedure"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"diagnostic_procedure"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
91, governmental_or_regulatory_activity
10, group_attribute
128, health_care_related_organization
21, hormone
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
28, isa, 17
28, performs, 69
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 36
28, performs, 27
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 28
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
21, ingredient_of, 61
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
66, affects, 28
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
Question: In what context are age_group, event, and hormone connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"age_group",
"event",
"hormone"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"hormone",
"ingredient_of",
"clinical_drug"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
50, event
75, food
91, governmental_or_regulatory_activity
10, group_attribute
128, health_care_related_organization
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
31, organization
2, patient_or_disabled_group
41, professional_society
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
39, research_activity
67, research_device
40, self_help_or_relief_organization
84, substance
108, temporal_concept
src, edge_attr, dst
69, isa, 50
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
75, ingredient_of, 61
75, isa, 84
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 2
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, carries_out, 39
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, location_of, 39
128, manages, 2
128, produces, 48
128, produces, 55
128, produces, 66
55, isa, 17
36, isa, 69
36, isa, 50
59, isa, 113
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, carries_out, 39
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, location_of, 39
31, produces, 48
31, produces, 55
31, produces, 66
2, isa, 17
2, performs, 69
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 36
2, performs, 27
2, performs, 39
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, carries_out, 39
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, location_of, 39
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, evaluation_of, 39
111, isa, 17
96, isa, 17
66, affects, 128
66, affects, 31
66, affects, 2
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
39, isa, 69
39, isa, 50
39, isa, 27
39, measures, 96
39, measures, 108
39, uses, 67
67, isa, 113
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, carries_out, 39
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, location_of, 39
40, manages, 2
40, produces, 48
40, produces, 55
40, produces, 66
84, ingredient_of, 61
108, isa, 17
Question: How are patient_or_disabled_group, research_activity, and substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"patient_or_disabled_group",
"research_activity",
"substance"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"research_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"location_of",
"research_activity"
],
[
"health_care_related_organization",
"manages",
"patient_or_disabled_group"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"carries_out",
"research_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"location_of",
"research_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"research_activity"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"carries_out",
"research_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"location_of",
"research_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"research_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_activity",
"isa",
"activity"
],
[
"research_activity",
"isa",
"event"
],
[
"research_activity",
"isa",
"occupational_activity"
],
[
"research_activity",
"measures",
"quantitative_concept"
],
[
"research_activity",
"measures",
"temporal_concept"
],
[
"research_activity",
"uses",
"research_device"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"research_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"research_activity"
],
[
"self_help_or_relief_organization",
"manages",
"patient_or_disabled_group"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
48, classification
17, conceptual_entity
24, daily_or_recreational_activity
123, diagnostic_procedure
107, educational_activity
50, event
42, geographic_area
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
30, language
36, machine_activity
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
69, isa, 50
26, isa, 17
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 123
132, isa, 17
3, isa, 17
48, isa, 17
48, isa, 55
24, isa, 69
24, isa, 50
123, isa, 69
123, isa, 50
123, isa, 27
123, measures, 96
123, measures, 108
107, isa, 69
107, isa, 50
107, isa, 27
42, isa, 17
91, isa, 69
91, isa, 50
91, isa, 27
128, carries_out, 123
128, carries_out, 107
128, carries_out, 91
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 123
128, location_of, 107
128, location_of, 91
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
70, isa, 17
55, conceptual_part_of, 123
55, isa, 17
30, isa, 17
36, isa, 69
36, isa, 50
36, method_of, 123
32, isa, 17
134, isa, 17
27, isa, 69
27, isa, 50
31, carries_out, 123
31, carries_out, 107
31, carries_out, 91
31, carries_out, 27
31, isa, 17
31, location_of, 123
31, location_of, 107
31, location_of, 91
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 123
41, carries_out, 107
41, carries_out, 91
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 123
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 123
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 26
96, measurement_of, 94
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 17
66, isa, 55
40, carries_out, 123
40, carries_out, 107
40, carries_out, 91
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 123
40, location_of, 107
40, location_of, 91
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
79, isa, 17
108, isa, 17
108, isa, 70
Question: How are classification, diagnostic_procedure, and language related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"classification",
"diagnostic_procedure",
"language"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"spatial_concept"
],
[
"body_location_or_region",
"location_of",
"diagnostic_procedure"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"diagnostic_procedure",
"isa",
"activity"
],
[
"diagnostic_procedure",
"isa",
"event"
],
[
"diagnostic_procedure",
"isa",
"occupational_activity"
],
[
"diagnostic_procedure",
"measures",
"quantitative_concept"
],
[
"diagnostic_procedure",
"measures",
"temporal_concept"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"diagnostic_procedure"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"diagnostic_procedure"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"conceptual_part_of",
"diagnostic_procedure"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"language",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"diagnostic_procedure"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"diagnostic_procedure"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"diagnostic_procedure"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"diagnostic_procedure"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"diagnostic_procedure"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"diagnostic_procedure"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"conceptual_entity"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"carries_out",
"diagnostic_procedure"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"diagnostic_procedure"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
],
[
"spatial_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"conceptual_entity"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
29, neoplastic_process
38, organic_chemical
23, professional_or_occupational_group
src, edge_attr, dst
29, occurs_in, 23
38, affects, 29
38, causes, 29
23, diagnoses, 29
Question: For what reason are neoplastic_process, organic_chemical, and professional_or_occupational_group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"neoplastic_process",
"organic_chemical",
"professional_or_occupational_group"
],
"valid_edges": [
[
"neoplastic_process",
"occurs_in",
"professional_or_occupational_group"
],
[
"organic_chemical",
"affects",
"neoplastic_process"
],
[
"organic_chemical",
"causes",
"neoplastic_process"
],
[
"professional_or_occupational_group",
"diagnoses",
"neoplastic_process"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
121, biomedical_or_dental_material
129, body_substance
52, laboratory_or_test_result
src, edge_attr, dst
52, measurement_of, 121
52, measurement_of, 129
Question: In what context are biomedical_or_dental_material, body_substance, and laboratory_or_test_result connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_or_dental_material",
"body_substance",
"laboratory_or_test_result"
],
"valid_edges": [
[
"laboratory_or_test_result",
"measurement_of",
"biomedical_or_dental_material"
],
[
"laboratory_or_test_result",
"measurement_of",
"body_substance"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
26, amino_acid_sequence
132, body_system
3, carbohydrate_sequence
48, classification
24, daily_or_recreational_activity
82, functional_concept
42, geographic_area
70, idea_or_concept
55, intellectual_product
85, laboratory_procedure
36, machine_activity
32, molecular_sequence
134, nucleotide_sequence
41, professional_society
111, qualitative_concept
96, quantitative_concept
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 70
132, isa, 82
132, isa, 70
3, isa, 70
48, isa, 55
24, isa, 69
82, isa, 70
42, isa, 70
85, isa, 69
85, measures, 96
85, measures, 108
36, isa, 69
36, method_of, 85
32, isa, 70
134, isa, 70
41, carries_out, 85
41, location_of, 85
41, produces, 48
41, produces, 55
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 85
111, evaluation_of, 36
111, isa, 70
96, isa, 70
96, measurement_of, 26
96, measurement_of, 3
96, measurement_of, 42
96, measurement_of, 32
96, measurement_of, 134
96, measurement_of, 79
79, isa, 70
108, isa, 70
Question: How are functional_concept, intellectual_product, and laboratory_procedure related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"functional_concept",
"intellectual_product",
"laboratory_procedure"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"laboratory_procedure",
"isa",
"activity"
],
[
"laboratory_procedure",
"measures",
"quantitative_concept"
],
[
"laboratory_procedure",
"measures",
"temporal_concept"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"method_of",
"laboratory_procedure"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"professional_society",
"carries_out",
"laboratory_procedure"
],
[
"professional_society",
"location_of",
"laboratory_procedure"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"laboratory_procedure"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"amino_acid_sequence"
],
[
"quantitative_concept",
"measurement_of",
"carbohydrate_sequence"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"quantitative_concept",
"measurement_of",
"molecular_sequence"
],
[
"quantitative_concept",
"measurement_of",
"nucleotide_sequence"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
16, group
19, molecular_biology_research_technique
29, neoplastic_process
src, edge_attr, dst
16, performs, 19
19, associated_with, 29
19, measures, 29
29, occurs_in, 16
Question: How are group, molecular_biology_research_technique, and neoplastic_process related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"group",
"molecular_biology_research_technique",
"neoplastic_process"
],
"valid_edges": [
[
"group",
"performs",
"molecular_biology_research_technique"
],
[
"molecular_biology_research_technique",
"associated_with",
"neoplastic_process"
],
[
"molecular_biology_research_technique",
"measures",
"neoplastic_process"
],
[
"neoplastic_process",
"occurs_in",
"group"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
28, age_group
22, anatomical_structure
73, archaeon
94, body_location_or_region
6, chemical_viewed_structurally
61, clinical_drug
17, conceptual_entity
68, drug_delivery_device
88, embryonic_structure
124, family_group
75, food
42, geographic_area
16, group
70, idea_or_concept
113, manufactured_object
119, organism
2, patient_or_disabled_group
126, physical_object
111, qualitative_concept
84, substance
src, edge_attr, dst
28, isa, 17
28, produces, 61
28, uses, 61
22, isa, 126
22, part_of, 73
22, part_of, 119
73, interacts_with, 119
73, isa, 119
73, isa, 126
94, isa, 17
94, isa, 70
6, ingredient_of, 61
6, isa, 126
6, isa, 84
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 126
88, isa, 22
88, isa, 126
88, part_of, 73
88, part_of, 119
124, isa, 17
124, produces, 61
124, uses, 61
75, ingredient_of, 61
75, isa, 126
75, isa, 84
42, isa, 17
42, isa, 70
16, isa, 17
16, produces, 61
16, uses, 61
70, isa, 17
113, isa, 126
119, isa, 126
2, isa, 17
2, produces, 61
2, uses, 61
111, isa, 17
111, isa, 70
84, ingredient_of, 61
84, isa, 126
Question: How are body_location_or_region, chemical_viewed_structurally, and organism related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_location_or_region",
"chemical_viewed_structurally",
"organism"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"anatomical_structure",
"part_of",
"organism"
],
[
"archaeon",
"interacts_with",
"organism"
],
[
"archaeon",
"isa",
"organism"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"chemical_viewed_structurally",
"ingredient_of",
"clinical_drug"
],
[
"chemical_viewed_structurally",
"isa",
"physical_object"
],
[
"chemical_viewed_structurally",
"isa",
"substance"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"isa",
"physical_object"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"embryonic_structure",
"part_of",
"organism"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"physical_object"
],
[
"food",
"isa",
"substance"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"uses",
"clinical_drug"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"organism",
"isa",
"physical_object"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
64, behavior
103, body_space_or_junction
61, clinical_drug
17, conceptual_entity
124, family_group
42, geographic_area
10, group_attribute
70, idea_or_concept
118, organophosphorus_compound
111, qualitative_concept
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, isa, 17
28, performs, 64
28, produces, 61
28, uses, 61
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, isa, 69
103, isa, 17
103, isa, 70
124, exhibits, 64
124, isa, 17
124, performs, 64
124, produces, 61
124, uses, 61
42, isa, 17
42, isa, 70
10, isa, 17
70, conceptual_part_of, 64
70, isa, 17
118, ingredient_of, 61
111, evaluation_of, 69
111, evaluation_of, 64
111, evaluation_of, 122
111, isa, 17
111, isa, 70
122, affects, 64
122, associated_with, 42
122, isa, 64
Question: How are body_space_or_junction, idea_or_concept, and organophosphorus_compound related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_space_or_junction",
"idea_or_concept",
"organophosphorus_compound"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"organophosphorus_compound",
"ingredient_of",
"clinical_drug"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"isa",
"behavior"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9, entity
67, research_device
0, vitamin
src, edge_attr, dst
67, isa, 9
0, isa, 9
Question: In what context are entity, research_device, and vitamin connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"entity",
"research_device",
"vitamin"
],
"valid_edges": [
[
"research_device",
"isa",
"entity"
],
[
"vitamin",
"isa",
"entity"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
48, classification
24, daily_or_recreational_activity
128, health_care_related_organization
55, intellectual_product
36, machine_activity
31, organization
126, physical_object
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
src, edge_attr, dst
28, performs, 69
28, performs, 24
28, performs, 36
28, produces, 48
28, produces, 55
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 55
28, uses, 66
28, uses, 67
48, isa, 55
24, isa, 69
128, isa, 31
128, produces, 48
128, produces, 55
128, produces, 66
36, isa, 69
31, produces, 48
31, produces, 55
31, produces, 66
41, isa, 31
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 36
66, affects, 28
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
67, isa, 126
40, isa, 31
40, produces, 48
40, produces, 55
40, produces, 66
Question: In what context are age_group, organization, and physical_object connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"age_group",
"organization",
"physical_object"
],
"valid_edges": [
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"machine_activity",
"isa",
"activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"produces",
"classification"
],
[
"professional_society",
"produces",
"intellectual_product"
],
[
"professional_society",
"produces",
"regulation_or_law"
],
[
"qualitative_concept",
"evaluation_of",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"organization"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_device",
"isa",
"physical_object"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"produces",
"classification"
],
[
"self_help_or_relief_organization",
"produces",
"intellectual_product"
],
[
"self_help_or_relief_organization",
"produces",
"regulation_or_law"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
22, anatomical_structure
61, clinical_drug
88, embryonic_structure
75, food
99, hazardous_or_poisonous_substance
19, molecular_biology_research_technique
87, plant
84, substance
src, edge_attr, dst
22, part_of, 87
88, isa, 22
88, part_of, 87
75, ingredient_of, 61
75, isa, 84
99, disrupts, 88
99, ingredient_of, 61
99, isa, 84
19, measures, 99
84, ingredient_of, 61
Question: For what reason are hazardous_or_poisonous_substance, molecular_biology_research_technique, and plant associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"hazardous_or_poisonous_substance",
"molecular_biology_research_technique",
"plant"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"plant"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"plant"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"hazardous_or_poisonous_substance",
"disrupts",
"embryonic_structure"
],
[
"hazardous_or_poisonous_substance",
"ingredient_of",
"clinical_drug"
],
[
"hazardous_or_poisonous_substance",
"isa",
"substance"
],
[
"molecular_biology_research_technique",
"measures",
"hazardous_or_poisonous_substance"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
62, disease_or_syndrome
104, fish
84, substance
src, edge_attr, dst
62, affects, 104
62, process_of, 104
84, causes, 62
Question: In what context are disease_or_syndrome, fish, and substance connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"disease_or_syndrome",
"fish",
"substance"
],
"valid_edges": [
[
"disease_or_syndrome",
"affects",
"fish"
],
[
"disease_or_syndrome",
"process_of",
"fish"
],
[
"substance",
"causes",
"disease_or_syndrome"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
99, hazardous_or_poisonous_substance
85, laboratory_procedure
41, professional_society
src, edge_attr, dst
85, analyzes, 99
85, assesses_effect_of, 99
85, measures, 99
41, carries_out, 85
41, location_of, 85
Question: How are hazardous_or_poisonous_substance, laboratory_procedure, and professional_society related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"hazardous_or_poisonous_substance",
"laboratory_procedure",
"professional_society"
],
"valid_edges": [
[
"laboratory_procedure",
"analyzes",
"hazardous_or_poisonous_substance"
],
[
"laboratory_procedure",
"assesses_effect_of",
"hazardous_or_poisonous_substance"
],
[
"laboratory_procedure",
"measures",
"hazardous_or_poisonous_substance"
],
[
"professional_society",
"carries_out",
"laboratory_procedure"
],
[
"professional_society",
"location_of",
"laboratory_procedure"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
92, cell
86, experimental_model_of_disease
1, population_group
src, edge_attr, dst
92, location_of, 86
86, occurs_in, 1
1, associated_with, 86
Question: In what context are cell, experimental_model_of_disease, and population_group connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell",
"experimental_model_of_disease",
"population_group"
],
"valid_edges": [
[
"cell",
"location_of",
"experimental_model_of_disease"
],
[
"experimental_model_of_disease",
"occurs_in",
"population_group"
],
[
"population_group",
"associated_with",
"experimental_model_of_disease"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
99, hazardous_or_poisonous_substance
70, idea_or_concept
111, qualitative_concept
39, research_activity
src, edge_attr, dst
111, evaluation_of, 39
111, isa, 70
39, measures, 99
Question: How are hazardous_or_poisonous_substance, idea_or_concept, and research_activity related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"hazardous_or_poisonous_substance",
"idea_or_concept",
"research_activity"
],
"valid_edges": [
[
"qualitative_concept",
"evaluation_of",
"research_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"research_activity",
"measures",
"hazardous_or_poisonous_substance"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
22, anatomical_structure
73, archaeon
61, clinical_drug
68, drug_delivery_device
88, embryonic_structure
75, food
63, lipid
113, manufactured_object
126, physical_object
84, substance
src, edge_attr, dst
22, isa, 126
22, part_of, 73
73, isa, 126
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 126
88, isa, 22
88, isa, 126
88, part_of, 73
75, ingredient_of, 61
75, isa, 126
75, isa, 84
63, ingredient_of, 61
63, isa, 126
63, isa, 84
113, isa, 126
84, ingredient_of, 61
84, isa, 126
Question: How are embryonic_structure, lipid, and substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"embryonic_structure",
"lipid",
"substance"
],
"valid_edges": [
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"isa",
"physical_object"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"physical_object"
],
[
"food",
"isa",
"substance"
],
[
"lipid",
"ingredient_of",
"clinical_drug"
],
[
"lipid",
"isa",
"physical_object"
],
[
"lipid",
"isa",
"substance"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
34, immunologic_factor
58, occupation_or_discipline
93, rickettsia_or_chlamydia
src, edge_attr, dst
34, indicates, 93
34, issue_in, 58
93, issue_in, 58
93, location_of, 34
Question: In what context are immunologic_factor, occupation_or_discipline, and rickettsia_or_chlamydia connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"immunologic_factor",
"occupation_or_discipline",
"rickettsia_or_chlamydia"
],
"valid_edges": [
[
"immunologic_factor",
"indicates",
"rickettsia_or_chlamydia"
],
[
"immunologic_factor",
"issue_in",
"occupation_or_discipline"
],
[
"rickettsia_or_chlamydia",
"issue_in",
"occupation_or_discipline"
],
[
"rickettsia_or_chlamydia",
"location_of",
"immunologic_factor"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
132, body_system
24, daily_or_recreational_activity
124, family_group
70, idea_or_concept
36, machine_activity
111, qualitative_concept
src, edge_attr, dst
132, isa, 70
124, performs, 24
124, performs, 36
111, evaluation_of, 24
111, evaluation_of, 36
111, isa, 70
Question: In what context are body_system, daily_or_recreational_activity, and family_group connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_system",
"daily_or_recreational_activity",
"family_group"
],
"valid_edges": [
[
"body_system",
"isa",
"idea_or_concept"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
132, body_system
24, daily_or_recreational_activity
82, functional_concept
70, idea_or_concept
36, machine_activity
51, organism_function
1, population_group
111, qualitative_concept
108, temporal_concept
src, edge_attr, dst
132, isa, 82
132, isa, 70
82, isa, 70
51, conceptual_part_of, 108
51, occurs_in, 108
1, performs, 24
1, performs, 36
111, evaluation_of, 24
111, evaluation_of, 36
111, isa, 70
108, conceptual_part_of, 51
108, isa, 70
Question: In what context are body_system, organism_function, and population_group connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_system",
"organism_function",
"population_group"
],
"valid_edges": [
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"organism_function",
"conceptual_part_of",
"temporal_concept"
],
[
"organism_function",
"occurs_in",
"temporal_concept"
],
[
"population_group",
"performs",
"daily_or_recreational_activity"
],
[
"population_group",
"performs",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"temporal_concept",
"conceptual_part_of",
"organism_function"
],
[
"temporal_concept",
"isa",
"idea_or_concept"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
13, indicator_reagent_or_diagnostic_aid
18, physiologic_function
84, substance
src, edge_attr, dst
13, affects, 18
13, isa, 84
Question: For what reason are indicator_reagent_or_diagnostic_aid, physiologic_function, and substance associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"indicator_reagent_or_diagnostic_aid",
"physiologic_function",
"substance"
],
"valid_edges": [
[
"indicator_reagent_or_diagnostic_aid",
"affects",
"physiologic_function"
],
[
"indicator_reagent_or_diagnostic_aid",
"isa",
"substance"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
112, alga
25, amphibian
22, anatomical_structure
64, behavior
17, conceptual_entity
107, educational_activity
88, embryonic_structure
50, event
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
122, social_behavior
src, edge_attr, dst
112, interacts_with, 25
25, exhibits, 64
25, exhibits, 122
22, part_of, 112
22, part_of, 25
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
88, isa, 22
88, part_of, 112
88, part_of, 25
42, isa, 17
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
53, isa, 69
53, isa, 50
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 27
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
70, conceptual_part_of, 64
70, isa, 17
27, isa, 69
27, isa, 50
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
111, evaluation_of, 64
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 53
111, evaluation_of, 27
111, evaluation_of, 122
111, isa, 17
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
Question: In what context are alga, amphibian, and self_help_or_relief_organization connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"alga",
"amphibian",
"self_help_or_relief_organization"
],
"valid_edges": [
[
"alga",
"interacts_with",
"amphibian"
],
[
"amphibian",
"exhibits",
"behavior"
],
[
"amphibian",
"exhibits",
"social_behavior"
],
[
"anatomical_structure",
"part_of",
"alga"
],
[
"anatomical_structure",
"part_of",
"amphibian"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"alga"
],
[
"embryonic_structure",
"part_of",
"amphibian"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"event"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"health_care_related_organization",
"carries_out",
"educational_activity"
],
[
"health_care_related_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"carries_out",
"health_care_activity"
],
[
"health_care_related_organization",
"carries_out",
"occupational_activity"
],
[
"health_care_related_organization",
"isa",
"conceptual_entity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"health_care_related_organization",
"location_of",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"occupational_activity"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"occupational_activity"
],
[
"organization",
"isa",
"conceptual_entity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"health_care_activity"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"professional_society",
"carries_out",
"educational_activity"
],
[
"professional_society",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"carries_out",
"health_care_activity"
],
[
"professional_society",
"carries_out",
"occupational_activity"
],
[
"professional_society",
"isa",
"conceptual_entity"
],
[
"professional_society",
"isa",
"organization"
],
[
"professional_society",
"location_of",
"educational_activity"
],
[
"professional_society",
"location_of",
"governmental_or_regulatory_activity"
],
[
"professional_society",
"location_of",
"health_care_activity"
],
[
"professional_society",
"location_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"health_care_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"carries_out",
"educational_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"carries_out",
"occupational_activity"
],
[
"self_help_or_relief_organization",
"isa",
"conceptual_entity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"educational_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"occupational_activity"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
112, alga
64, behavior
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
124, family_group
46, fungus
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
27, occupational_activity
2, patient_or_disabled_group
126, physical_object
66, regulation_or_law
67, research_device
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, interacts_with, 16
28, interacts_with, 2
28, isa, 17
28, isa, 16
28, performs, 69
28, performs, 64
28, performs, 24
28, performs, 107
28, performs, 91
28, performs, 53
28, performs, 36
28, performs, 27
28, performs, 122
28, produces, 48
28, produces, 61
28, produces, 68
28, produces, 55
28, produces, 113
28, produces, 59
28, produces, 66
28, produces, 67
28, uses, 48
28, uses, 61
28, uses, 68
28, uses, 55
28, uses, 113
28, uses, 59
28, uses, 66
28, uses, 67
112, interacts_with, 46
112, isa, 126
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 2
64, isa, 69
61, isa, 126
24, isa, 69
68, isa, 126
107, isa, 69
107, isa, 27
124, exhibits, 64
124, exhibits, 122
124, interacts_with, 28
124, interacts_with, 16
124, interacts_with, 2
124, isa, 17
124, isa, 16
124, performs, 69
124, performs, 64
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 53
124, performs, 36
124, performs, 27
124, performs, 122
124, produces, 48
124, produces, 61
124, produces, 68
124, produces, 55
124, produces, 113
124, produces, 59
124, produces, 66
124, produces, 67
124, uses, 48
124, uses, 61
124, uses, 68
124, uses, 55
124, uses, 113
124, uses, 59
124, uses, 66
124, uses, 67
46, isa, 126
91, isa, 69
91, isa, 27
16, exhibits, 64
16, exhibits, 122
16, isa, 17
16, performs, 69
16, performs, 64
16, performs, 24
16, performs, 107
16, performs, 91
16, performs, 53
16, performs, 36
16, performs, 27
16, performs, 122
16, produces, 48
16, produces, 61
16, produces, 68
16, produces, 55
16, produces, 113
16, produces, 59
16, produces, 66
16, produces, 67
16, uses, 48
16, uses, 61
16, uses, 68
16, uses, 55
16, uses, 113
16, uses, 59
16, uses, 66
16, uses, 67
10, property_of, 28
10, property_of, 124
10, property_of, 16
10, property_of, 2
53, isa, 69
53, isa, 27
36, isa, 69
113, isa, 126
59, isa, 126
27, isa, 69
2, exhibits, 64
2, exhibits, 122
2, interacts_with, 16
2, isa, 17
2, isa, 16
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 107
2, performs, 91
2, performs, 53
2, performs, 36
2, performs, 27
2, performs, 122
2, produces, 48
2, produces, 61
2, produces, 68
2, produces, 55
2, produces, 113
2, produces, 59
2, produces, 66
2, produces, 67
2, uses, 48
2, uses, 61
2, uses, 68
2, uses, 55
2, uses, 113
2, uses, 59
2, uses, 66
2, uses, 67
66, affects, 28
66, affects, 124
66, affects, 16
66, affects, 2
67, isa, 126
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 2
122, isa, 69
Question: For what reason are alga, fungus, and health_care_activity associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"alga",
"fungus",
"health_care_activity"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"interacts_with",
"group"
],
[
"age_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"isa",
"group"
],
[
"age_group",
"performs",
"activity"
],
[
"age_group",
"performs",
"behavior"
],
[
"age_group",
"performs",
"daily_or_recreational_activity"
],
[
"age_group",
"performs",
"educational_activity"
],
[
"age_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"age_group",
"performs",
"health_care_activity"
],
[
"age_group",
"performs",
"machine_activity"
],
[
"age_group",
"performs",
"occupational_activity"
],
[
"age_group",
"performs",
"social_behavior"
],
[
"age_group",
"produces",
"classification"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"intellectual_product"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"regulation_or_law"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"classification"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"intellectual_product"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"regulation_or_law"
],
[
"age_group",
"uses",
"research_device"
],
[
"alga",
"interacts_with",
"fungus"
],
[
"alga",
"isa",
"physical_object"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"behavior",
"isa",
"activity"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"family_group",
"interacts_with",
"age_group"
],
[
"family_group",
"interacts_with",
"group"
],
[
"family_group",
"interacts_with",
"patient_or_disabled_group"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"isa",
"group"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"health_care_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"family_group",
"uses",
"research_device"
],
[
"fungus",
"isa",
"physical_object"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group",
"exhibits",
"behavior"
],
[
"group",
"exhibits",
"social_behavior"
],
[
"group",
"isa",
"conceptual_entity"
],
[
"group",
"performs",
"activity"
],
[
"group",
"performs",
"behavior"
],
[
"group",
"performs",
"daily_or_recreational_activity"
],
[
"group",
"performs",
"educational_activity"
],
[
"group",
"performs",
"governmental_or_regulatory_activity"
],
[
"group",
"performs",
"health_care_activity"
],
[
"group",
"performs",
"machine_activity"
],
[
"group",
"performs",
"occupational_activity"
],
[
"group",
"performs",
"social_behavior"
],
[
"group",
"produces",
"classification"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"intellectual_product"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"regulation_or_law"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"classification"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"intellectual_product"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"regulation_or_law"
],
[
"group",
"uses",
"research_device"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"group_attribute",
"property_of",
"group"
],
[
"group_attribute",
"property_of",
"patient_or_disabled_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"health_care_activity",
"isa",
"occupational_activity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"interacts_with",
"group"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"patient_or_disabled_group",
"isa",
"group"
],
[
"patient_or_disabled_group",
"performs",
"activity"
],
[
"patient_or_disabled_group",
"performs",
"behavior"
],
[
"patient_or_disabled_group",
"performs",
"daily_or_recreational_activity"
],
[
"patient_or_disabled_group",
"performs",
"educational_activity"
],
[
"patient_or_disabled_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"patient_or_disabled_group",
"performs",
"health_care_activity"
],
[
"patient_or_disabled_group",
"performs",
"machine_activity"
],
[
"patient_or_disabled_group",
"performs",
"occupational_activity"
],
[
"patient_or_disabled_group",
"performs",
"social_behavior"
],
[
"patient_or_disabled_group",
"produces",
"classification"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"intellectual_product"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"classification"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"intellectual_product"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"regulation_or_law",
"affects",
"age_group"
],
[
"regulation_or_law",
"affects",
"family_group"
],
[
"regulation_or_law",
"affects",
"group"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"research_device",
"isa",
"physical_object"
],
[
"social_behavior",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_group"
],
[
"social_behavior",
"associated_with",
"group"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
69, activity
28, age_group
57, amino_acid_peptide_or_protein
25, amphibian
127, animal
121, biomedical_or_dental_material
116, bird
103, body_space_or_junction
129, body_substance
115, carbohydrate
8, chemical_viewed_functionally
6, chemical_viewed_structurally
61, clinical_drug
68, drug_delivery_device
33, eicosanoid
81, element_ion_or_isotope
43, environmental_effect_of_humans
50, event
124, family_group
104, fish
133, fully_formed_anatomical_structure
16, group
100, human
45, human_caused_phenomenon_or_process
13, indicator_reagent_or_diagnostic_aid
14, inorganic_chemical
74, invertebrate
63, lipid
37, mammal
113, manufactured_object
125, nucleic_acid_nucleoside_or_nucleotide
27, occupational_activity
38, organic_chemical
118, organophosphorus_compound
2, patient_or_disabled_group
71, phenomenon_or_process
126, physical_object
1, population_group
23, professional_or_occupational_group
76, reptile
39, research_activity
67, research_device
20, steroid
84, substance
114, vertebrate
src, edge_attr, dst
69, isa, 50
28, performs, 39
28, produces, 61
28, uses, 61
57, ingredient_of, 61
57, interacts_with, 121
57, interacts_with, 115
57, interacts_with, 8
57, interacts_with, 33
57, interacts_with, 81
57, interacts_with, 13
57, interacts_with, 14
57, interacts_with, 63
57, interacts_with, 20
57, isa, 6
57, isa, 38
57, isa, 126
57, isa, 84
25, isa, 126
127, isa, 126
121, ingredient_of, 61
121, interacts_with, 13
121, isa, 8
121, isa, 126
121, isa, 84
116, isa, 126
103, conceptual_part_of, 133
103, contains, 129
103, location_of, 129
129, consists_of, 57
129, consists_of, 115
129, consists_of, 33
129, consists_of, 63
129, consists_of, 125
129, consists_of, 38
129, consists_of, 118
129, consists_of, 20
129, ingredient_of, 61
129, isa, 126
129, isa, 84
115, ingredient_of, 61
115, interacts_with, 121
115, interacts_with, 8
115, interacts_with, 33
115, interacts_with, 81
115, interacts_with, 13
115, interacts_with, 14
115, interacts_with, 63
115, interacts_with, 20
115, isa, 6
115, isa, 38
115, isa, 126
115, isa, 84
8, ingredient_of, 61
8, interacts_with, 121
8, interacts_with, 13
8, isa, 126
8, isa, 84
6, ingredient_of, 61
6, interacts_with, 57
6, interacts_with, 121
6, interacts_with, 115
6, interacts_with, 8
6, interacts_with, 33
6, interacts_with, 81
6, interacts_with, 13
6, interacts_with, 14
6, interacts_with, 63
6, interacts_with, 125
6, interacts_with, 38
6, interacts_with, 118
6, interacts_with, 20
6, isa, 126
6, isa, 84
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 126
33, ingredient_of, 61
33, interacts_with, 121
33, interacts_with, 8
33, interacts_with, 81
33, interacts_with, 13
33, interacts_with, 14
33, isa, 6
33, isa, 63
33, isa, 38
33, isa, 126
33, isa, 84
81, ingredient_of, 61
81, interacts_with, 121
81, interacts_with, 8
81, interacts_with, 13
81, interacts_with, 14
81, isa, 6
81, isa, 126
81, isa, 84
43, isa, 50
43, isa, 45
43, isa, 71
43, result_of, 45
43, result_of, 71
124, performs, 39
124, produces, 61
124, uses, 61
104, isa, 126
133, contains, 129
133, isa, 126
133, part_of, 25
133, part_of, 127
133, part_of, 116
133, part_of, 104
133, part_of, 100
133, part_of, 74
133, part_of, 37
133, part_of, 76
133, part_of, 114
133, produces, 57
133, produces, 129
133, produces, 115
133, produces, 33
133, produces, 63
133, produces, 125
133, produces, 38
133, produces, 118
133, produces, 20
16, performs, 39
16, produces, 61
16, uses, 61
100, isa, 126
45, isa, 50
45, isa, 71
45, result_of, 43
45, result_of, 71
13, ingredient_of, 61
13, isa, 8
13, isa, 126
13, isa, 84
14, ingredient_of, 61
14, interacts_with, 121
14, interacts_with, 8
14, interacts_with, 13
14, isa, 6
14, isa, 126
14, isa, 84
74, isa, 126
63, ingredient_of, 61
63, interacts_with, 121
63, interacts_with, 8
63, interacts_with, 33
63, interacts_with, 81
63, interacts_with, 13
63, interacts_with, 14
63, interacts_with, 20
63, isa, 6
63, isa, 38
63, isa, 126
63, isa, 84
37, isa, 126
113, isa, 126
125, ingredient_of, 61
125, interacts_with, 57
125, interacts_with, 121
125, interacts_with, 115
125, interacts_with, 8
125, interacts_with, 33
125, interacts_with, 81
125, interacts_with, 13
125, interacts_with, 14
125, interacts_with, 63
125, interacts_with, 118
125, interacts_with, 20
125, isa, 6
125, isa, 38
125, isa, 126
125, isa, 84
27, isa, 50
38, ingredient_of, 61
38, interacts_with, 57
38, interacts_with, 121
38, interacts_with, 115
38, interacts_with, 8
38, interacts_with, 33
38, interacts_with, 81
38, interacts_with, 13
38, interacts_with, 14
38, interacts_with, 63
38, interacts_with, 125
38, interacts_with, 118
38, interacts_with, 20
38, isa, 6
38, isa, 126
38, isa, 84
118, ingredient_of, 61
118, interacts_with, 57
118, interacts_with, 121
118, interacts_with, 115
118, interacts_with, 8
118, interacts_with, 33
118, interacts_with, 81
118, interacts_with, 13
118, interacts_with, 14
118, interacts_with, 63
118, interacts_with, 20
118, isa, 6
118, isa, 38
118, isa, 126
118, isa, 84
2, performs, 39
2, produces, 61
2, uses, 61
71, isa, 50
71, result_of, 43
71, result_of, 45
1, performs, 39
1, produces, 61
1, uses, 61
23, performs, 39
23, produces, 61
23, uses, 61
76, isa, 126
39, isa, 69
39, isa, 50
39, isa, 27
39, measures, 57
39, measures, 121
39, measures, 129
39, measures, 115
39, measures, 8
39, measures, 6
39, measures, 33
39, measures, 81
39, measures, 13
39, measures, 14
39, measures, 63
39, measures, 125
39, measures, 38
39, measures, 118
39, measures, 20
39, uses, 67
67, isa, 126
20, ingredient_of, 61
20, interacts_with, 121
20, interacts_with, 8
20, interacts_with, 33
20, interacts_with, 81
20, interacts_with, 13
20, interacts_with, 14
20, isa, 6
20, isa, 63
20, isa, 38
20, isa, 126
20, isa, 84
84, ingredient_of, 61
84, isa, 126
114, isa, 126
Question: How are biomedical_or_dental_material, lipid, and phenomenon_or_process related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_or_dental_material",
"lipid",
"phenomenon_or_process"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"age_group",
"performs",
"research_activity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"amino_acid_peptide_or_protein",
"ingredient_of",
"clinical_drug"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"biomedical_or_dental_material"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"carbohydrate"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"chemical_viewed_functionally"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"eicosanoid"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"element_ion_or_isotope"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"inorganic_chemical"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"lipid"
],
[
"amino_acid_peptide_or_protein",
"interacts_with",
"steroid"
],
[
"amino_acid_peptide_or_protein",
"isa",
"chemical_viewed_structurally"
],
[
"amino_acid_peptide_or_protein",
"isa",
"organic_chemical"
],
[
"amino_acid_peptide_or_protein",
"isa",
"physical_object"
],
[
"amino_acid_peptide_or_protein",
"isa",
"substance"
],
[
"amphibian",
"isa",
"physical_object"
],
[
"animal",
"isa",
"physical_object"
],
[
"biomedical_or_dental_material",
"ingredient_of",
"clinical_drug"
],
[
"biomedical_or_dental_material",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"biomedical_or_dental_material",
"isa",
"chemical_viewed_functionally"
],
[
"biomedical_or_dental_material",
"isa",
"physical_object"
],
[
"biomedical_or_dental_material",
"isa",
"substance"
],
[
"bird",
"isa",
"physical_object"
],
[
"body_space_or_junction",
"conceptual_part_of",
"fully_formed_anatomical_structure"
],
[
"body_space_or_junction",
"contains",
"body_substance"
],
[
"body_space_or_junction",
"location_of",
"body_substance"
],
[
"body_substance",
"consists_of",
"amino_acid_peptide_or_protein"
],
[
"body_substance",
"consists_of",
"carbohydrate"
],
[
"body_substance",
"consists_of",
"eicosanoid"
],
[
"body_substance",
"consists_of",
"lipid"
],
[
"body_substance",
"consists_of",
"nucleic_acid_nucleoside_or_nucleotide"
],
[
"body_substance",
"consists_of",
"organic_chemical"
],
[
"body_substance",
"consists_of",
"organophosphorus_compound"
],
[
"body_substance",
"consists_of",
"steroid"
],
[
"body_substance",
"ingredient_of",
"clinical_drug"
],
[
"body_substance",
"isa",
"physical_object"
],
[
"body_substance",
"isa",
"substance"
],
[
"carbohydrate",
"ingredient_of",
"clinical_drug"
],
[
"carbohydrate",
"interacts_with",
"biomedical_or_dental_material"
],
[
"carbohydrate",
"interacts_with",
"chemical_viewed_functionally"
],
[
"carbohydrate",
"interacts_with",
"eicosanoid"
],
[
"carbohydrate",
"interacts_with",
"element_ion_or_isotope"
],
[
"carbohydrate",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"carbohydrate",
"interacts_with",
"inorganic_chemical"
],
[
"carbohydrate",
"interacts_with",
"lipid"
],
[
"carbohydrate",
"interacts_with",
"steroid"
],
[
"carbohydrate",
"isa",
"chemical_viewed_structurally"
],
[
"carbohydrate",
"isa",
"organic_chemical"
],
[
"carbohydrate",
"isa",
"physical_object"
],
[
"carbohydrate",
"isa",
"substance"
],
[
"chemical_viewed_functionally",
"ingredient_of",
"clinical_drug"
],
[
"chemical_viewed_functionally",
"interacts_with",
"biomedical_or_dental_material"
],
[
"chemical_viewed_functionally",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"chemical_viewed_functionally",
"isa",
"physical_object"
],
[
"chemical_viewed_functionally",
"isa",
"substance"
],
[
"chemical_viewed_structurally",
"ingredient_of",
"clinical_drug"
],
[
"chemical_viewed_structurally",
"interacts_with",
"amino_acid_peptide_or_protein"
],
[
"chemical_viewed_structurally",
"interacts_with",
"biomedical_or_dental_material"
],
[
"chemical_viewed_structurally",
"interacts_with",
"carbohydrate"
],
[
"chemical_viewed_structurally",
"interacts_with",
"chemical_viewed_functionally"
],
[
"chemical_viewed_structurally",
"interacts_with",
"eicosanoid"
],
[
"chemical_viewed_structurally",
"interacts_with",
"element_ion_or_isotope"
],
[
"chemical_viewed_structurally",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"chemical_viewed_structurally",
"interacts_with",
"inorganic_chemical"
],
[
"chemical_viewed_structurally",
"interacts_with",
"lipid"
],
[
"chemical_viewed_structurally",
"interacts_with",
"nucleic_acid_nucleoside_or_nucleotide"
],
[
"chemical_viewed_structurally",
"interacts_with",
"organic_chemical"
],
[
"chemical_viewed_structurally",
"interacts_with",
"organophosphorus_compound"
],
[
"chemical_viewed_structurally",
"interacts_with",
"steroid"
],
[
"chemical_viewed_structurally",
"isa",
"physical_object"
],
[
"chemical_viewed_structurally",
"isa",
"substance"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"eicosanoid",
"ingredient_of",
"clinical_drug"
],
[
"eicosanoid",
"interacts_with",
"biomedical_or_dental_material"
],
[
"eicosanoid",
"interacts_with",
"chemical_viewed_functionally"
],
[
"eicosanoid",
"interacts_with",
"element_ion_or_isotope"
],
[
"eicosanoid",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"eicosanoid",
"interacts_with",
"inorganic_chemical"
],
[
"eicosanoid",
"isa",
"chemical_viewed_structurally"
],
[
"eicosanoid",
"isa",
"lipid"
],
[
"eicosanoid",
"isa",
"organic_chemical"
],
[
"eicosanoid",
"isa",
"physical_object"
],
[
"eicosanoid",
"isa",
"substance"
],
[
"element_ion_or_isotope",
"ingredient_of",
"clinical_drug"
],
[
"element_ion_or_isotope",
"interacts_with",
"biomedical_or_dental_material"
],
[
"element_ion_or_isotope",
"interacts_with",
"chemical_viewed_functionally"
],
[
"element_ion_or_isotope",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"element_ion_or_isotope",
"interacts_with",
"inorganic_chemical"
],
[
"element_ion_or_isotope",
"isa",
"chemical_viewed_structurally"
],
[
"element_ion_or_isotope",
"isa",
"physical_object"
],
[
"element_ion_or_isotope",
"isa",
"substance"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"isa",
"phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"environmental_effect_of_humans",
"result_of",
"phenomenon_or_process"
],
[
"family_group",
"performs",
"research_activity"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"fish",
"isa",
"physical_object"
],
[
"fully_formed_anatomical_structure",
"contains",
"body_substance"
],
[
"fully_formed_anatomical_structure",
"isa",
"physical_object"
],
[
"fully_formed_anatomical_structure",
"part_of",
"amphibian"
],
[
"fully_formed_anatomical_structure",
"part_of",
"animal"
],
[
"fully_formed_anatomical_structure",
"part_of",
"bird"
],
[
"fully_formed_anatomical_structure",
"part_of",
"fish"
],
[
"fully_formed_anatomical_structure",
"part_of",
"human"
],
[
"fully_formed_anatomical_structure",
"part_of",
"invertebrate"
],
[
"fully_formed_anatomical_structure",
"part_of",
"mammal"
],
[
"fully_formed_anatomical_structure",
"part_of",
"reptile"
],
[
"fully_formed_anatomical_structure",
"part_of",
"vertebrate"
],
[
"fully_formed_anatomical_structure",
"produces",
"amino_acid_peptide_or_protein"
],
[
"fully_formed_anatomical_structure",
"produces",
"body_substance"
],
[
"fully_formed_anatomical_structure",
"produces",
"carbohydrate"
],
[
"fully_formed_anatomical_structure",
"produces",
"eicosanoid"
],
[
"fully_formed_anatomical_structure",
"produces",
"lipid"
],
[
"fully_formed_anatomical_structure",
"produces",
"nucleic_acid_nucleoside_or_nucleotide"
],
[
"fully_formed_anatomical_structure",
"produces",
"organic_chemical"
],
[
"fully_formed_anatomical_structure",
"produces",
"organophosphorus_compound"
],
[
"fully_formed_anatomical_structure",
"produces",
"steroid"
],
[
"group",
"performs",
"research_activity"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"uses",
"clinical_drug"
],
[
"human",
"isa",
"physical_object"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"isa",
"phenomenon_or_process"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"phenomenon_or_process"
],
[
"indicator_reagent_or_diagnostic_aid",
"ingredient_of",
"clinical_drug"
],
[
"indicator_reagent_or_diagnostic_aid",
"isa",
"chemical_viewed_functionally"
],
[
"indicator_reagent_or_diagnostic_aid",
"isa",
"physical_object"
],
[
"indicator_reagent_or_diagnostic_aid",
"isa",
"substance"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"inorganic_chemical",
"interacts_with",
"biomedical_or_dental_material"
],
[
"inorganic_chemical",
"interacts_with",
"chemical_viewed_functionally"
],
[
"inorganic_chemical",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"inorganic_chemical",
"isa",
"chemical_viewed_structurally"
],
[
"inorganic_chemical",
"isa",
"physical_object"
],
[
"inorganic_chemical",
"isa",
"substance"
],
[
"invertebrate",
"isa",
"physical_object"
],
[
"lipid",
"ingredient_of",
"clinical_drug"
],
[
"lipid",
"interacts_with",
"biomedical_or_dental_material"
],
[
"lipid",
"interacts_with",
"chemical_viewed_functionally"
],
[
"lipid",
"interacts_with",
"eicosanoid"
],
[
"lipid",
"interacts_with",
"element_ion_or_isotope"
],
[
"lipid",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"lipid",
"interacts_with",
"inorganic_chemical"
],
[
"lipid",
"interacts_with",
"steroid"
],
[
"lipid",
"isa",
"chemical_viewed_structurally"
],
[
"lipid",
"isa",
"organic_chemical"
],
[
"lipid",
"isa",
"physical_object"
],
[
"lipid",
"isa",
"substance"
],
[
"mammal",
"isa",
"physical_object"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"ingredient_of",
"clinical_drug"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"amino_acid_peptide_or_protein"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"biomedical_or_dental_material"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"carbohydrate"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"chemical_viewed_functionally"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"eicosanoid"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"element_ion_or_isotope"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"inorganic_chemical"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"lipid"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"organophosphorus_compound"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"steroid"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"isa",
"chemical_viewed_structurally"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"isa",
"organic_chemical"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"isa",
"physical_object"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"isa",
"substance"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"organic_chemical",
"interacts_with",
"amino_acid_peptide_or_protein"
],
[
"organic_chemical",
"interacts_with",
"biomedical_or_dental_material"
],
[
"organic_chemical",
"interacts_with",
"carbohydrate"
],
[
"organic_chemical",
"interacts_with",
"chemical_viewed_functionally"
],
[
"organic_chemical",
"interacts_with",
"eicosanoid"
],
[
"organic_chemical",
"interacts_with",
"element_ion_or_isotope"
],
[
"organic_chemical",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"organic_chemical",
"interacts_with",
"inorganic_chemical"
],
[
"organic_chemical",
"interacts_with",
"lipid"
],
[
"organic_chemical",
"interacts_with",
"nucleic_acid_nucleoside_or_nucleotide"
],
[
"organic_chemical",
"interacts_with",
"organophosphorus_compound"
],
[
"organic_chemical",
"interacts_with",
"steroid"
],
[
"organic_chemical",
"isa",
"chemical_viewed_structurally"
],
[
"organic_chemical",
"isa",
"physical_object"
],
[
"organic_chemical",
"isa",
"substance"
],
[
"organophosphorus_compound",
"ingredient_of",
"clinical_drug"
],
[
"organophosphorus_compound",
"interacts_with",
"amino_acid_peptide_or_protein"
],
[
"organophosphorus_compound",
"interacts_with",
"biomedical_or_dental_material"
],
[
"organophosphorus_compound",
"interacts_with",
"carbohydrate"
],
[
"organophosphorus_compound",
"interacts_with",
"chemical_viewed_functionally"
],
[
"organophosphorus_compound",
"interacts_with",
"eicosanoid"
],
[
"organophosphorus_compound",
"interacts_with",
"element_ion_or_isotope"
],
[
"organophosphorus_compound",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"organophosphorus_compound",
"interacts_with",
"inorganic_chemical"
],
[
"organophosphorus_compound",
"interacts_with",
"lipid"
],
[
"organophosphorus_compound",
"interacts_with",
"steroid"
],
[
"organophosphorus_compound",
"isa",
"chemical_viewed_structurally"
],
[
"organophosphorus_compound",
"isa",
"organic_chemical"
],
[
"organophosphorus_compound",
"isa",
"physical_object"
],
[
"organophosphorus_compound",
"isa",
"substance"
],
[
"patient_or_disabled_group",
"performs",
"research_activity"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"phenomenon_or_process",
"isa",
"event"
],
[
"phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"phenomenon_or_process",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"population_group",
"performs",
"research_activity"
],
[
"population_group",
"produces",
"clinical_drug"
],
[
"population_group",
"uses",
"clinical_drug"
],
[
"professional_or_occupational_group",
"performs",
"research_activity"
],
[
"professional_or_occupational_group",
"produces",
"clinical_drug"
],
[
"professional_or_occupational_group",
"uses",
"clinical_drug"
],
[
"reptile",
"isa",
"physical_object"
],
[
"research_activity",
"isa",
"activity"
],
[
"research_activity",
"isa",
"event"
],
[
"research_activity",
"isa",
"occupational_activity"
],
[
"research_activity",
"measures",
"amino_acid_peptide_or_protein"
],
[
"research_activity",
"measures",
"biomedical_or_dental_material"
],
[
"research_activity",
"measures",
"body_substance"
],
[
"research_activity",
"measures",
"carbohydrate"
],
[
"research_activity",
"measures",
"chemical_viewed_functionally"
],
[
"research_activity",
"measures",
"chemical_viewed_structurally"
],
[
"research_activity",
"measures",
"eicosanoid"
],
[
"research_activity",
"measures",
"element_ion_or_isotope"
],
[
"research_activity",
"measures",
"indicator_reagent_or_diagnostic_aid"
],
[
"research_activity",
"measures",
"inorganic_chemical"
],
[
"research_activity",
"measures",
"lipid"
],
[
"research_activity",
"measures",
"nucleic_acid_nucleoside_or_nucleotide"
],
[
"research_activity",
"measures",
"organic_chemical"
],
[
"research_activity",
"measures",
"organophosphorus_compound"
],
[
"research_activity",
"measures",
"steroid"
],
[
"research_activity",
"uses",
"research_device"
],
[
"research_device",
"isa",
"physical_object"
],
[
"steroid",
"ingredient_of",
"clinical_drug"
],
[
"steroid",
"interacts_with",
"biomedical_or_dental_material"
],
[
"steroid",
"interacts_with",
"chemical_viewed_functionally"
],
[
"steroid",
"interacts_with",
"eicosanoid"
],
[
"steroid",
"interacts_with",
"element_ion_or_isotope"
],
[
"steroid",
"interacts_with",
"indicator_reagent_or_diagnostic_aid"
],
[
"steroid",
"interacts_with",
"inorganic_chemical"
],
[
"steroid",
"isa",
"chemical_viewed_structurally"
],
[
"steroid",
"isa",
"lipid"
],
[
"steroid",
"isa",
"organic_chemical"
],
[
"steroid",
"isa",
"physical_object"
],
[
"steroid",
"isa",
"substance"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
],
[
"vertebrate",
"isa",
"physical_object"
]
]
}
|
UMLS
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
31, organization
111, qualitative_concept
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
31, carries_out, 7
31, location_of, 7
111, evaluation_of, 7
Question: For what reason are organization, qualitative_concept, and therapeutic_or_preventive_procedure associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"organization",
"qualitative_concept",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"organization",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"organization",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"qualitative_concept",
"evaluation_of",
"therapeutic_or_preventive_procedure"
]
]
}
|
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