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
26, amino_acid_sequence
15, cell_function
89, finding
70, idea_or_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 70
15, occurs_in, 108
89, evaluation_of, 15
89, manifestation_of, 15
108, conceptual_part_of, 15
108, isa, 70
Question: For what reason are amino_acid_sequence, cell_function, and finding associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_sequence",
"cell_function",
"finding"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"cell_function",
"occurs_in",
"temporal_concept"
],
[
"finding",
"evaluation_of",
"cell_function"
],
[
"finding",
"manifestation_of",
"cell_function"
],
[
"temporal_concept",
"conceptual_part_of",
"cell_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
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
43, environmental_effect_of_humans
50, event
124, family_group
89, finding
82, functional_concept
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
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
131, organism_attribute
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
64, affects, 122
64, associated_with, 28
64, associated_with, 124
64, associated_with, 42
64, associated_with, 10
64, associated_with, 131
64, isa, 69
64, isa, 50
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
132, isa, 17
132, isa, 82
132, isa, 70
3, isa, 17
3, isa, 70
48, isa, 17
61, isa, 113
68, contains, 61
68, isa, 113
68, isa, 59
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
89, evaluation_of, 131
89, isa, 17
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
10, isa, 17
10, property_of, 28
10, property_of, 124
45, isa, 50
45, result_of, 43
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
59, isa, 113
32, isa, 17
32, isa, 70
134, isa, 17
134, isa, 70
131, isa, 17
131, result_of, 43
131, result_of, 45
111, evaluation_of, 64
111, evaluation_of, 122
111, isa, 17
111, isa, 70
96, isa, 17
96, 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, associated_with, 10
122, associated_with, 131
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 drug_delivery_device, functional_concept, and organism_attribute connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"drug_delivery_device",
"functional_concept",
"organism_attribute"
],
"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"
],
[
"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",
"associated_with",
"organism_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"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_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_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"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"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"
],
[
"finding",
"evaluation_of",
"organism_attribute"
],
[
"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"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"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"
],
[
"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"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"organism_attribute",
"isa",
"conceptual_entity"
],
[
"organism_attribute",
"result_of",
"environmental_effect_of_humans"
],
[
"organism_attribute",
"result_of",
"human_caused_phenomenon_or_process"
],
[
"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"
],
[
"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",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"organism_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
69, activity
24, daily_or_recreational_activity
107, educational_activity
81, element_ion_or_isotope
50, event
124, family_group
109, genetic_function
91, governmental_or_regulatory_activity
128, health_care_related_organization
36, machine_activity
31, organization
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
81, affects, 109
124, performs, 69
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 36
109, 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
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
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: For what reason are element_ion_or_isotope, family_group, and genetic_function associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"element_ion_or_isotope",
"family_group",
"genetic_function"
],
"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"
],
[
"element_ion_or_isotope",
"affects",
"genetic_function"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"genetic_function",
"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"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_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
132, body_system
133, fully_formed_anatomical_structure
70, idea_or_concept
36, machine_activity
111, qualitative_concept
117, receptor
src, edge_attr, dst
132, conceptual_part_of, 133
132, isa, 70
133, produces, 117
111, evaluation_of, 36
111, isa, 70
117, disrupts, 133
Question: For what reason are fully_formed_anatomical_structure, machine_activity, and receptor associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"fully_formed_anatomical_structure",
"machine_activity",
"receptor"
],
"valid_edges": [
[
"body_system",
"conceptual_part_of",
"fully_formed_anatomical_structure"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"fully_formed_anatomical_structure",
"produces",
"receptor"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"receptor",
"disrupts",
"fully_formed_anatomical_structure"
]
]
}
|
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
38, organic_chemical
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, 38
63, isa, 126
63, isa, 84
113, isa, 126
38, ingredient_of, 61
38, interacts_with, 63
38, isa, 126
38, isa, 84
84, ingredient_of, 61
84, isa, 126
Question: In what context are anatomical_structure, lipid, and organic_chemical connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"lipid",
"organic_chemical"
],
"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",
"organic_chemical"
],
[
"lipid",
"isa",
"physical_object"
],
[
"lipid",
"isa",
"substance"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"organic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"organic_chemical",
"interacts_with",
"lipid"
],
[
"organic_chemical",
"isa",
"physical_object"
],
[
"organic_chemical",
"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
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
123, diagnostic_procedure
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
74, invertebrate
36, machine_activity
113, manufactured_object
59, medical_device
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
31, organization
2, patient_or_disabled_group
41, professional_society
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
26, isa, 17
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, associated_with, 2
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
132, isa, 17
3, isa, 17
48, isa, 17
48, isa, 55
61, isa, 113
24, isa, 69
24, isa, 50
123, affects, 2
123, isa, 69
123, isa, 50
123, isa, 53
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
42, isa, 17
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 2
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, manages, 2
128, produces, 48
128, produces, 55
128, produces, 66
70, conceptual_part_of, 64
70, isa, 17
55, conceptual_part_of, 123
55, isa, 17
74, exhibits, 64
74, exhibits, 122
36, isa, 69
36, isa, 50
36, method_of, 123
59, isa, 113
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, 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, 48
31, produces, 55
31, produces, 66
2, exhibits, 64
2, exhibits, 122
2, isa, 17
2, performs, 69
2, performs, 64
2, performs, 24
2, performs, 123
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
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, 48
41, produces, 55
41, produces, 66
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, 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, 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, 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, manages, 2
40, produces, 48
40, produces, 55
40, produces, 66
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, associated_with, 2
122, isa, 69
122, isa, 64
122, isa, 50
79, isa, 17
108, isa, 17
108, isa, 70
Question: For what reason are diagnostic_procedure, invertebrate, and patient_or_disabled_group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"diagnostic_procedure",
"invertebrate",
"patient_or_disabled_group"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"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"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"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",
"affects",
"patient_or_disabled_group"
],
[
"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"
],
[
"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"
],
[
"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",
"patient_or_disabled_group"
],
[
"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",
"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"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"conceptual_part_of",
"diagnostic_procedure"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"invertebrate",
"exhibits",
"behavior"
],
[
"invertebrate",
"exhibits",
"social_behavior"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"diagnostic_procedure"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"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",
"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",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"patient_or_disabled_group",
"exhibits",
"behavior"
],
[
"patient_or_disabled_group",
"exhibits",
"social_behavior"
],
[
"patient_or_disabled_group",
"isa",
"conceptual_entity"
],
[
"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",
"diagnostic_procedure"
],
[
"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"
],
[
"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",
"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",
"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",
"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",
"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",
"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",
"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"
],
[
"social_behavior",
"affects",
"behavior"
],
[
"social_behavior",
"associated_with",
"geographic_area"
],
[
"social_behavior",
"associated_with",
"group_attribute"
],
[
"social_behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"social_behavior",
"isa",
"activity"
],
[
"social_behavior",
"isa",
"behavior"
],
[
"social_behavior",
"isa",
"event"
],
[
"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
69, activity
121, biomedical_or_dental_material
48, classification
24, daily_or_recreational_activity
107, educational_activity
91, governmental_or_regulatory_activity
128, health_care_related_organization
55, intellectual_product
29, neoplastic_process
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
src, edge_attr, dst
121, affects, 29
121, causes, 29
48, isa, 55
24, associated_with, 29
24, isa, 69
107, associated_with, 29
107, isa, 69
91, associated_with, 29
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
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 biomedical_or_dental_material, intellectual_product, and neoplastic_process related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_or_dental_material",
"intellectual_product",
"neoplastic_process"
],
"valid_edges": [
[
"biomedical_or_dental_material",
"affects",
"neoplastic_process"
],
[
"biomedical_or_dental_material",
"causes",
"neoplastic_process"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"associated_with",
"neoplastic_process"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"educational_activity",
"associated_with",
"neoplastic_process"
],
[
"educational_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"associated_with",
"neoplastic_process"
],
[
"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"
],
[
"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
69, activity
28, age_group
22, anatomical_structure
73, archaeon
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
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
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
22, isa, 126
22, part_of, 73
73, isa, 126
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 2
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 113
68, isa, 59
68, isa, 126
88, isa, 22
88, isa, 126
88, part_of, 73
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
75, isa, 84
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
113, isa, 126
59, isa, 113
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
67, isa, 113
67, isa, 126
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 2
84, ingredient_of, 61
84, isa, 126
Question: In what context are anatomical_structure, clinical_drug, and substance connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"clinical_drug",
"substance"
],
"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"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"associated_with",
"group"
],
[
"behavior",
"associated_with",
"patient_or_disabled_group"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"isa",
"physical_object"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"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"
],
[
"food",
"isa",
"substance"
],
[
"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"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"manufactured_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"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"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"
],
[
"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
60, biologic_function
89, finding
13, indicator_reagent_or_diagnostic_aid
src, edge_attr, dst
89, evaluation_of, 60
89, manifestation_of, 60
13, affects, 60
Question: In what context are biologic_function, finding, and indicator_reagent_or_diagnostic_aid connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biologic_function",
"finding",
"indicator_reagent_or_diagnostic_aid"
],
"valid_edges": [
[
"finding",
"evaluation_of",
"biologic_function"
],
[
"finding",
"manifestation_of",
"biologic_function"
],
[
"indicator_reagent_or_diagnostic_aid",
"affects",
"biologic_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
28, age_group
26, amino_acid_sequence
64, behavior
94, body_location_or_region
103, body_space_or_junction
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
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
85, laboratory_procedure
30, language
36, machine_activity
113, manufactured_object
59, medical_device
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
119, organism
31, organization
2, patient_or_disabled_group
126, physical_object
41, professional_society
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, 85
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
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
103, isa, 17
3, isa, 17
48, isa, 17
61, isa, 126
24, isa, 69
24, isa, 50
68, isa, 126
107, isa, 69
107, isa, 50
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, 85
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
91, isa, 69
91, isa, 50
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, 85
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
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 85
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, 85
128, location_of, 27
128, manages, 2
128, produces, 48
128, produces, 55
128, produces, 66
70, isa, 17
55, isa, 17
85, isa, 69
85, isa, 50
85, isa, 53
85, isa, 27
85, measures, 96
85, measures, 108
30, isa, 17
36, isa, 69
36, isa, 50
36, method_of, 85
113, isa, 126
59, isa, 126
32, isa, 17
134, isa, 17
27, isa, 69
27, isa, 50
119, isa, 126
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 85
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 85
31, location_of, 27
31, produces, 48
31, produces, 55
31, produces, 66
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, 85
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
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 85
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, 85
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, 85
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, 128
66, affects, 31
66, affects, 2
66, affects, 41
66, affects, 40
66, isa, 17
67, isa, 126
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 85
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, 85
40, location_of, 27
40, manages, 2
40, produces, 48
40, produces, 55
40, produces, 66
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
108, isa, 17
108, isa, 70
Question: For what reason are laboratory_procedure, language, and organism associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"laboratory_procedure",
"language",
"organism"
],
"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",
"laboratory_procedure"
],
[
"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"
],
[
"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_space_or_junction",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"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"
],
[
"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",
"laboratory_procedure"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"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",
"laboratory_procedure"
],
[
"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_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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"laboratory_procedure",
"isa",
"activity"
],
[
"laboratory_procedure",
"isa",
"event"
],
[
"laboratory_procedure",
"isa",
"health_care_activity"
],
[
"laboratory_procedure",
"isa",
"occupational_activity"
],
[
"laboratory_procedure",
"measures",
"quantitative_concept"
],
[
"laboratory_procedure",
"measures",
"temporal_concept"
],
[
"language",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"laboratory_procedure"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"organism",
"isa",
"physical_object"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"organization",
"location_of",
"occupational_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"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",
"laboratory_procedure"
],
[
"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"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"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"
],
[
"research_device",
"isa",
"physical_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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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"
],
[
"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"
],
[
"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
126, physical_object
76, reptile
67, research_device
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
76, isa, 126
67, isa, 126
7, uses, 67
Question: In what context are physical_object, reptile, and therapeutic_or_preventive_procedure connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"physical_object",
"reptile",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"reptile",
"isa",
"physical_object"
],
[
"research_device",
"isa",
"physical_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
64, behavior
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
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
118, organophosphorus_compound
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
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
64, isa, 69
64, isa, 50
3, isa, 17
3, isa, 70
48, isa, 17
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
107, isa, 27
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
91, isa, 27
10, isa, 17
10, property_of, 28
10, property_of, 124
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
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
118, ingredient_of, 61
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
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
122, isa, 69
122, isa, 50
Question: How are carbohydrate_sequence, educational_activity, and organophosphorus_compound related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate_sequence",
"educational_activity",
"organophosphorus_compound"
],
"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",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"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"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"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"
],
[
"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"
],
[
"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"
],
[
"organophosphorus_compound",
"ingredient_of",
"clinical_drug"
],
[
"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"
],
[
"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"
],
[
"social_behavior",
"isa",
"activity"
],
[
"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
50, event
124, family_group
75, food
91, governmental_or_regulatory_activity
10, group_attribute
99, hazardous_or_poisonous_substance
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
41, professional_society
111, qualitative_concept
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
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, associated_with, 28
64, associated_with, 124
64, isa, 69
64, isa, 50
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
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
91, isa, 69
91, isa, 50
91, isa, 27
10, property_of, 28
10, property_of, 124
99, ingredient_of, 61
99, isa, 84
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
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
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
66, affects, 28
66, affects, 124
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, 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
122, isa, 69
122, isa, 50
84, ingredient_of, 61
Question: In what context are clinical_drug, hazardous_or_poisonous_substance, and occupational_activity connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"clinical_drug",
"hazardous_or_poisonous_substance",
"occupational_activity"
],
"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",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"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"
],
[
"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"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"hazardous_or_poisonous_substance",
"ingredient_of",
"clinical_drug"
],
[
"hazardous_or_poisonous_substance",
"isa",
"substance"
],
[
"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"
],
[
"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_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"
],
[
"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"
],
[
"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"
],
[
"social_behavior",
"isa",
"activity"
],
[
"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
116, bird
43, environmental_effect_of_humans
98, pathologic_function
src, edge_attr, dst
43, result_of, 98
98, affects, 116
98, process_of, 116
98, result_of, 43
Question: In what context are bird, environmental_effect_of_humans, and pathologic_function connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bird",
"environmental_effect_of_humans",
"pathologic_function"
],
"valid_edges": [
[
"environmental_effect_of_humans",
"result_of",
"pathologic_function"
],
[
"pathologic_function",
"affects",
"bird"
],
[
"pathologic_function",
"process_of",
"bird"
],
[
"pathologic_function",
"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
25, amphibian
73, archaeon
116, bird
src, edge_attr, dst
25, interacts_with, 73
25, interacts_with, 116
116, interacts_with, 73
Question: How are amphibian, archaeon, and bird related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amphibian",
"archaeon",
"bird"
],
"valid_edges": [
[
"amphibian",
"interacts_with",
"archaeon"
],
[
"amphibian",
"interacts_with",
"bird"
],
[
"bird",
"interacts_with",
"archaeon"
]
]
}
|
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
90, antibiotic
102, biologically_active_substance
52, laboratory_or_test_result
src, edge_attr, dst
90, interacts_with, 102
52, measurement_of, 90
52, measurement_of, 102
Question: How are antibiotic, biologically_active_substance, and laboratory_or_test_result related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"antibiotic",
"biologically_active_substance",
"laboratory_or_test_result"
],
"valid_edges": [
[
"antibiotic",
"interacts_with",
"biologically_active_substance"
],
[
"laboratory_or_test_result",
"measurement_of",
"antibiotic"
],
[
"laboratory_or_test_result",
"measurement_of",
"biologically_active_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
94, body_location_or_region
103, body_space_or_junction
129, body_substance
132, body_system
48, classification
61, clinical_drug
17, conceptual_entity
107, educational_activity
88, embryonic_structure
75, food
82, functional_concept
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
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
84, substance
114, vertebrate
src, edge_attr, dst
22, part_of, 114
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
103, conceptual_part_of, 132
103, contains, 129
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 129
129, conceptual_part_of, 132
129, ingredient_of, 61
129, isa, 84
129, surrounds, 88
132, isa, 17
132, isa, 82
132, isa, 70
48, isa, 17
48, isa, 55
107, isa, 27
88, contains, 129
88, isa, 22
88, part_of, 114
75, ingredient_of, 61
75, isa, 84
82, isa, 17
91, isa, 27
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
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, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 27
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 27
111, isa, 17
96, isa, 17
96, measurement_of, 103
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
84, ingredient_of, 61
Question: In what context are body_substance, professional_society, and vertebrate connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_substance",
"professional_society",
"vertebrate"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"vertebrate"
],
[
"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_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",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"location_of",
"body_substance"
],
[
"body_substance",
"conceptual_part_of",
"body_system"
],
[
"body_substance",
"ingredient_of",
"clinical_drug"
],
[
"body_substance",
"isa",
"substance"
],
[
"body_substance",
"surrounds",
"embryonic_structure"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"embryonic_structure",
"contains",
"body_substance"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"vertebrate"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"governmental_or_regulatory_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",
"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"
],
[
"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",
"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",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_activity"
],
[
"qualitative_concept",
"evaluation_of",
"occupational_activity"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"measurement_of",
"body_space_or_junction"
],
[
"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"
],
[
"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
3, carbohydrate_sequence
48, classification
24, daily_or_recreational_activity
107, educational_activity
50, event
124, family_group
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
54, natural_phenomenon_or_process
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
3, isa, 70
48, isa, 55
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
124, performs, 69
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 36
124, produces, 48
124, produces, 55
124, produces, 66
124, uses, 48
124, uses, 55
124, uses, 66
91, isa, 69
91, isa, 50
128, carries_out, 107
128, carries_out, 91
128, location_of, 107
128, location_of, 91
128, produces, 48
128, produces, 55
128, produces, 66
36, isa, 69
36, isa, 50
54, isa, 50
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, 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, isa, 70
66, affects, 124
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
40, carries_out, 107
40, carries_out, 91
40, location_of, 107
40, location_of, 91
40, produces, 48
40, produces, 55
40, produces, 66
Question: In what context are carbohydrate_sequence, family_group, and natural_phenomenon_or_process connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate_sequence",
"family_group",
"natural_phenomenon_or_process"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"produces",
"classification"
],
[
"family_group",
"produces",
"intellectual_product"
],
[
"family_group",
"produces",
"regulation_or_law"
],
[
"family_group",
"uses",
"classification"
],
[
"family_group",
"uses",
"intellectual_product"
],
[
"family_group",
"uses",
"regulation_or_law"
],
[
"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"
],
[
"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"
],
[
"machine_activity",
"isa",
"event"
],
[
"natural_phenomenon_or_process",
"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"
],
[
"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",
"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",
"isa",
"idea_or_concept"
],
[
"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",
"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",
"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
90, antibiotic
6, chemical_viewed_structurally
35, gene_or_genome
src, edge_attr, dst
90, disrupts, 35
6, interacts_with, 90
Question: In what context are antibiotic, chemical_viewed_structurally, and gene_or_genome connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"antibiotic",
"chemical_viewed_structurally",
"gene_or_genome"
],
"valid_edges": [
[
"antibiotic",
"disrupts",
"gene_or_genome"
],
[
"chemical_viewed_structurally",
"interacts_with",
"antibiotic"
]
]
}
|
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
94, body_location_or_region
103, body_space_or_junction
132, body_system
61, clinical_drug
17, conceptual_entity
68, drug_delivery_device
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
59, medical_device
83, organ_or_tissue_function
96, quantitative_concept
79, spatial_concept
84, substance
108, temporal_concept
src, edge_attr, dst
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 83
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 83
61, isa, 113
68, contains, 61
68, isa, 113
68, isa, 59
88, isa, 22
88, location_of, 83
43, isa, 50
43, isa, 45
43, result_of, 45
43, result_of, 83
89, evaluation_of, 83
89, isa, 17
89, manifestation_of, 83
75, affects, 83
75, ingredient_of, 61
75, isa, 84
45, isa, 50
45, result_of, 43
45, result_of, 83
59, isa, 113
83, conceptual_part_of, 108
83, isa, 50
83, occurs_in, 108
83, result_of, 43
83, result_of, 45
96, isa, 17
96, isa, 70
96, measurement_of, 94
96, measurement_of, 103
96, measurement_of, 83
96, measurement_of, 79
84, ingredient_of, 61
108, conceptual_part_of, 83
108, isa, 17
108, isa, 70
Question: For what reason are anatomical_structure, drug_delivery_device, and organ_or_tissue_function associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"drug_delivery_device",
"organ_or_tissue_function"
],
"valid_edges": [
[
"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",
"organ_or_tissue_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",
"organ_or_tissue_function"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"location_of",
"organ_or_tissue_function"
],
[
"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",
"organ_or_tissue_function"
],
[
"finding",
"evaluation_of",
"organ_or_tissue_function"
],
[
"finding",
"isa",
"conceptual_entity"
],
[
"finding",
"manifestation_of",
"organ_or_tissue_function"
],
[
"food",
"affects",
"organ_or_tissue_function"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"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",
"organ_or_tissue_function"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"organ_or_tissue_function",
"conceptual_part_of",
"temporal_concept"
],
[
"organ_or_tissue_function",
"isa",
"event"
],
[
"organ_or_tissue_function",
"occurs_in",
"temporal_concept"
],
[
"organ_or_tissue_function",
"result_of",
"environmental_effect_of_humans"
],
[
"organ_or_tissue_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",
"organ_or_tissue_function"
],
[
"quantitative_concept",
"measurement_of",
"spatial_concept"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"temporal_concept",
"conceptual_part_of",
"organ_or_tissue_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
28, age_group
25, amphibian
64, behavior
115, carbohydrate
61, clinical_drug
43, environmental_effect_of_humans
50, event
124, family_group
42, geographic_area
10, group_attribute
45, human_caused_phenomenon_or_process
111, qualitative_concept
122, social_behavior
src, edge_attr, dst
69, isa, 50
28, exhibits, 64
28, exhibits, 122
28, performs, 64
28, performs, 122
28, produces, 61
28, uses, 61
25, exhibits, 64
25, exhibits, 122
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
115, ingredient_of, 61
43, isa, 50
43, isa, 45
43, result_of, 45
124, exhibits, 64
124, exhibits, 122
124, performs, 64
124, performs, 122
124, produces, 61
124, uses, 61
45, isa, 50
45, result_of, 43
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 amphibian, carbohydrate, and environmental_effect_of_humans related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amphibian",
"carbohydrate",
"environmental_effect_of_humans"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"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"
],
[
"amphibian",
"exhibits",
"behavior"
],
[
"amphibian",
"exhibits",
"social_behavior"
],
[
"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"
],
[
"carbohydrate",
"ingredient_of",
"clinical_drug"
],
[
"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",
"performs",
"behavior"
],
[
"family_group",
"performs",
"social_behavior"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"human_caused_phenomenon_or_process",
"result_of",
"environmental_effect_of_humans"
],
[
"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
107, educational_activity
125, nucleic_acid_nucleoside_or_nucleotide
98, pathologic_function
src, edge_attr, dst
107, associated_with, 98
125, affects, 98
125, causes, 98
Question: In what context are educational_activity, nucleic_acid_nucleoside_or_nucleotide, and pathologic_function connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"educational_activity",
"nucleic_acid_nucleoside_or_nucleotide",
"pathologic_function"
],
"valid_edges": [
[
"educational_activity",
"associated_with",
"pathologic_function"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"affects",
"pathologic_function"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"causes",
"pathologic_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
94, body_location_or_region
129, body_substance
132, body_system
61, clinical_drug
17, conceptual_entity
82, functional_concept
10, group_attribute
70, idea_or_concept
src, edge_attr, dst
94, conceptual_part_of, 132
94, isa, 17
129, conceptual_part_of, 132
129, ingredient_of, 61
132, isa, 17
132, isa, 82
132, isa, 70
82, isa, 17
10, isa, 17
70, isa, 17
Question: In what context are body_substance, clinical_drug, and group_attribute connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_substance",
"clinical_drug",
"group_attribute"
],
"valid_edges": [
[
"body_location_or_region",
"conceptual_part_of",
"body_system"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_substance",
"conceptual_part_of",
"body_system"
],
[
"body_substance",
"ingredient_of",
"clinical_drug"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"functional_concept",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"idea_or_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
127, animal
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
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
101, sign_or_symptom
122, social_behavior
79, spatial_concept
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
69, isa, 50
26, isa, 17
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, 7
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 7
132, isa, 17
3, isa, 17
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
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, carries_out, 7
128, isa, 17
128, isa, 31
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 27
128, location_of, 7
70, conceptual_part_of, 64
70, isa, 17
36, isa, 69
36, isa, 50
36, method_of, 7
32, isa, 17
134, 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, carries_out, 7
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 27
31, location_of, 7
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, carries_out, 7
41, isa, 17
41, isa, 31
41, location_of, 107
41, location_of, 91
41, location_of, 53
41, location_of, 27
41, location_of, 7
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, evaluation_of, 7
111, isa, 17
111, isa, 70
96, conceptual_part_of, 7
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, carries_out, 7
40, isa, 17
40, isa, 31
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
40, location_of, 7
101, isa, 17
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
79, isa, 17
7, isa, 69
7, isa, 50
7, isa, 53
7, isa, 27
7, treats, 101
Question: How are animal, sign_or_symptom, and therapeutic_or_preventive_procedure related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"animal",
"sign_or_symptom",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"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",
"therapeutic_or_preventive_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",
"therapeutic_or_preventive_procedure"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"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"
],
[
"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",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"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",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"therapeutic_or_preventive_procedure"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"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",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"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",
"location_of",
"therapeutic_or_preventive_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",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"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",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"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",
"evaluation_of",
"therapeutic_or_preventive_procedure"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"conceptual_part_of",
"therapeutic_or_preventive_procedure"
],
[
"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",
"carries_out",
"therapeutic_or_preventive_procedure"
],
[
"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",
"location_of",
"therapeutic_or_preventive_procedure"
],
[
"sign_or_symptom",
"isa",
"conceptual_entity"
],
[
"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"
],
[
"therapeutic_or_preventive_procedure",
"isa",
"activity"
],
[
"therapeutic_or_preventive_procedure",
"isa",
"event"
],
[
"therapeutic_or_preventive_procedure",
"isa",
"health_care_activity"
],
[
"therapeutic_or_preventive_procedure",
"isa",
"occupational_activity"
],
[
"therapeutic_or_preventive_procedure",
"treats",
"sign_or_symptom"
]
]
}
|
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
121, biomedical_or_dental_material
49, clinical_attribute
61, clinical_drug
68, drug_delivery_device
88, embryonic_structure
75, food
113, manufactured_object
126, physical_object
84, substance
src, edge_attr, dst
22, isa, 126
22, part_of, 73
73, isa, 126
121, ingredient_of, 61
121, isa, 126
121, isa, 84
49, property_of, 73
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
113, isa, 126
84, ingredient_of, 61
84, isa, 126
Question: In what context are biomedical_or_dental_material, clinical_attribute, and embryonic_structure connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_or_dental_material",
"clinical_attribute",
"embryonic_structure"
],
"valid_edges": [
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"biomedical_or_dental_material",
"ingredient_of",
"clinical_drug"
],
[
"biomedical_or_dental_material",
"isa",
"physical_object"
],
[
"biomedical_or_dental_material",
"isa",
"substance"
],
[
"clinical_attribute",
"property_of",
"archaeon"
],
[
"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"
],
[
"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
130, bacterium
61, clinical_drug
88, embryonic_structure
75, food
99, hazardous_or_poisonous_substance
84, substance
src, edge_attr, dst
88, location_of, 130
88, part_of, 130
75, ingredient_of, 61
75, isa, 84
99, disrupts, 88
99, ingredient_of, 61
99, isa, 84
84, ingredient_of, 61
Question: How are bacterium, food, and hazardous_or_poisonous_substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bacterium",
"food",
"hazardous_or_poisonous_substance"
],
"valid_edges": [
[
"embryonic_structure",
"location_of",
"bacterium"
],
[
"embryonic_structure",
"part_of",
"bacterium"
],
[
"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"
],
[
"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
22, anatomical_structure
61, clinical_drug
88, embryonic_structure
104, fish
75, food
34, immunologic_factor
76, reptile
84, substance
src, edge_attr, dst
22, part_of, 104
22, part_of, 76
88, isa, 22
88, part_of, 104
88, part_of, 76
104, interacts_with, 76
75, ingredient_of, 61
75, isa, 84
34, disrupts, 88
34, ingredient_of, 61
34, isa, 84
84, ingredient_of, 61
Question: For what reason are fish, immunologic_factor, and reptile associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"fish",
"immunologic_factor",
"reptile"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"fish"
],
[
"anatomical_structure",
"part_of",
"reptile"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"fish"
],
[
"embryonic_structure",
"part_of",
"reptile"
],
[
"fish",
"interacts_with",
"reptile"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"immunologic_factor",
"disrupts",
"embryonic_structure"
],
[
"immunologic_factor",
"ingredient_of",
"clinical_drug"
],
[
"immunologic_factor",
"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
8, chemical_viewed_functionally
75, food
80, mental_or_behavioral_dysfunction
src, edge_attr, dst
8, affects, 80
8, causes, 80
75, affects, 80
75, causes, 80
Question: For what reason are chemical_viewed_functionally, food, and mental_or_behavioral_dysfunction associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"chemical_viewed_functionally",
"food",
"mental_or_behavioral_dysfunction"
],
"valid_edges": [
[
"chemical_viewed_functionally",
"affects",
"mental_or_behavioral_dysfunction"
],
[
"chemical_viewed_functionally",
"causes",
"mental_or_behavioral_dysfunction"
],
[
"food",
"affects",
"mental_or_behavioral_dysfunction"
],
[
"food",
"causes",
"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
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
128, health_care_related_organization
70, idea_or_concept
14, inorganic_chemical
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
108, temporal_concept
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, associated_with, 28
64, associated_with, 124
64, isa, 69
64, isa, 50
48, isa, 17
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
107, isa, 27
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
91, isa, 27
10, isa, 17
10, property_of, 28
10, property_of, 124
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
14, ingredient_of, 61
55, isa, 17
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, 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
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
122, isa, 69
122, isa, 50
108, isa, 17
108, isa, 70
Question: For what reason are educational_activity, inorganic_chemical, and temporal_concept associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"educational_activity",
"inorganic_chemical",
"temporal_concept"
],
"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",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"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"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"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"
],
[
"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"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"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",
"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"
],
[
"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"
],
[
"social_behavior",
"isa",
"activity"
],
[
"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
112, alga
102, biologically_active_substance
65, biomedical_occupation_or_discipline
src, edge_attr, dst
112, issue_in, 65
112, location_of, 102
102, issue_in, 65
Question: For what reason are alga, biologically_active_substance, and biomedical_occupation_or_discipline associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"alga",
"biologically_active_substance",
"biomedical_occupation_or_discipline"
],
"valid_edges": [
[
"alga",
"issue_in",
"biomedical_occupation_or_discipline"
],
[
"alga",
"location_of",
"biologically_active_substance"
],
[
"biologically_active_substance",
"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
26, amino_acid_sequence
105, anatomical_abnormality
102, biologically_active_substance
3, carbohydrate_sequence
42, geographic_area
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
79, spatial_concept
src, edge_attr, dst
26, isa, 70
26, isa, 32
26, isa, 79
102, causes, 105
102, complicates, 105
3, isa, 70
3, isa, 32
3, isa, 79
42, associated_with, 105
42, isa, 70
42, isa, 79
32, isa, 70
32, isa, 79
134, isa, 70
134, isa, 32
134, isa, 79
79, isa, 70
Question: In what context are amino_acid_sequence, anatomical_abnormality, and biologically_active_substance connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_sequence",
"anatomical_abnormality",
"biologically_active_substance"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"biologically_active_substance",
"causes",
"anatomical_abnormality"
],
[
"biologically_active_substance",
"complicates",
"anatomical_abnormality"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"geographic_area",
"associated_with",
"anatomical_abnormality"
],
[
"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"
],
[
"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
22, anatomical_structure
94, body_location_or_region
132, body_system
17, conceptual_entity
78, congenital_abnormality
42, geographic_area
70, idea_or_concept
30, language
96, quantitative_concept
79, spatial_concept
src, edge_attr, dst
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 78
132, isa, 17
78, isa, 22
42, associated_with, 78
42, isa, 17
42, isa, 70
42, isa, 79
70, isa, 17
30, isa, 17
96, isa, 17
96, measurement_of, 94
96, measurement_of, 42
79, isa, 17
Question: For what reason are anatomical_structure, congenital_abnormality, and language associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"anatomical_structure",
"congenital_abnormality",
"language"
],
"valid_edges": [
[
"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",
"congenital_abnormality"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"congenital_abnormality",
"isa",
"anatomical_structure"
],
[
"geographic_area",
"associated_with",
"congenital_abnormality"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"language",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"spatial_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
28, age_group
90, antibiotic
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
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
27, occupational_activity
111, qualitative_concept
66, regulation_or_law
67, research_device
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
90, ingredient_of, 61
64, associated_with, 28
64, associated_with, 124
48, isa, 17
61, isa, 113
68, contains, 61
68, isa, 113
68, isa, 59
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
70, conceptual_part_of, 64
70, isa, 17
55, isa, 17
59, isa, 113
32, isa, 17
32, isa, 70
111, isa, 17
111, isa, 70
66, affects, 28
66, affects, 124
66, isa, 17
67, isa, 113
122, associated_with, 28
122, associated_with, 124
Question: How are antibiotic, medical_device, and molecular_sequence related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"antibiotic",
"medical_device",
"molecular_sequence"
],
"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"
],
[
"antibiotic",
"ingredient_of",
"clinical_drug"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"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"
],
[
"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"
],
[
"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",
"associated_with",
"age_group"
],
[
"social_behavior",
"associated_with",
"family_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
22, anatomical_structure
73, archaeon
6, chemical_viewed_structurally
61, clinical_drug
68, drug_delivery_device
88, embryonic_structure
75, food
113, manufactured_object
54, natural_phenomenon_or_process
126, physical_object
84, substance
4, tissue
src, edge_attr, dst
22, isa, 126
22, part_of, 73
73, isa, 126
6, affects, 54
6, ingredient_of, 61
6, isa, 126
6, isa, 84
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 126
88, developmental_form_of, 4
88, isa, 22
88, isa, 126
88, part_of, 73
75, ingredient_of, 61
75, isa, 126
75, isa, 84
113, isa, 126
84, ingredient_of, 61
84, isa, 126
4, isa, 22
4, isa, 126
4, part_of, 73
Question: For what reason are chemical_viewed_structurally, natural_phenomenon_or_process, and tissue associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"chemical_viewed_structurally",
"natural_phenomenon_or_process",
"tissue"
],
"valid_edges": [
[
"anatomical_structure",
"isa",
"physical_object"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"archaeon",
"isa",
"physical_object"
],
[
"chemical_viewed_structurally",
"affects",
"natural_phenomenon_or_process"
],
[
"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",
"developmental_form_of",
"tissue"
],
[
"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"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"substance",
"ingredient_of",
"clinical_drug"
],
[
"substance",
"isa",
"physical_object"
],
[
"tissue",
"isa",
"anatomical_structure"
],
[
"tissue",
"isa",
"physical_object"
],
[
"tissue",
"part_of",
"archaeon"
]
]
}
|
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
124, family_group
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
77, neuroreactive_substance_or_biogenic_amine
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
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
124, isa, 17
124, performs, 69
124, performs, 24
124, performs, 107
124, performs, 91
124, performs, 36
124, performs, 27
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
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 124
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
77, ingredient_of, 61
77, isa, 84
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, 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, 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: For what reason are activity, family_group, and neuroreactive_substance_or_biogenic_amine associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"activity",
"family_group",
"neuroreactive_substance_or_biogenic_amine"
],
"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"
],
[
"family_group",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"activity"
],
[
"family_group",
"performs",
"daily_or_recreational_activity"
],
[
"family_group",
"performs",
"educational_activity"
],
[
"family_group",
"performs",
"governmental_or_regulatory_activity"
],
[
"family_group",
"performs",
"machine_activity"
],
[
"family_group",
"performs",
"occupational_activity"
],
[
"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"
],
[
"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",
"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",
"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"
],
[
"neuroreactive_substance_or_biogenic_amine",
"ingredient_of",
"clinical_drug"
],
[
"neuroreactive_substance_or_biogenic_amine",
"isa",
"substance"
],
[
"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",
"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",
"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
26, amino_acid_sequence
132, body_system
3, carbohydrate_sequence
9, entity
82, functional_concept
42, geographic_area
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
39, research_activity
79, spatial_concept
src, edge_attr, dst
26, isa, 9
26, isa, 70
26, isa, 32
26, isa, 79
132, isa, 9
132, isa, 82
132, isa, 70
3, isa, 9
3, isa, 70
3, isa, 32
3, isa, 79
82, isa, 9
82, isa, 70
42, isa, 9
42, isa, 70
42, isa, 79
70, isa, 9
32, isa, 9
32, isa, 70
32, isa, 79
134, isa, 9
134, isa, 70
134, isa, 32
134, isa, 79
111, evaluation_of, 39
111, isa, 9
111, isa, 70
79, isa, 9
79, isa, 70
Question: For what reason are entity, molecular_sequence, and research_activity associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"entity",
"molecular_sequence",
"research_activity"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"body_system",
"isa",
"entity"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"functional_concept",
"isa",
"entity"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"isa",
"entity"
],
[
"molecular_sequence",
"isa",
"entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"qualitative_concept",
"evaluation_of",
"research_activity"
],
[
"qualitative_concept",
"isa",
"entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"spatial_concept",
"isa",
"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
50, event
124, family_group
89, finding
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
77, neuroreactive_substance_or_biogenic_amine
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
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
89, isa, 17
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
77, ingredient_of, 61
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
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 finding, neuroreactive_substance_or_biogenic_amine, and social_behavior related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"finding",
"neuroreactive_substance_or_biogenic_amine",
"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"
],
[
"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"
],
[
"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"
],
[
"finding",
"isa",
"conceptual_entity"
],
[
"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"
],
[
"neuroreactive_substance_or_biogenic_amine",
"ingredient_of",
"clinical_drug"
],
[
"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"
],
[
"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
61, clinical_drug
113, manufactured_object
29, neoplastic_process
src, edge_attr, dst
61, causes, 29
61, isa, 113
113, causes, 29
Question: In what context are clinical_drug, manufactured_object, and neoplastic_process connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"clinical_drug",
"manufactured_object",
"neoplastic_process"
],
"valid_edges": [
[
"clinical_drug",
"causes",
"neoplastic_process"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"manufactured_object",
"causes",
"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
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
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
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
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, 82
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
3, isa, 79
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
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, 107
111, evaluation_of, 91
111, evaluation_of, 53
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, idea_or_concept, and professional_society related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bird",
"idea_or_concept",
"professional_society"
],
"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",
"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",
"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"
],
[
"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"
],
[
"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",
"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"
],
[
"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
57, amino_acid_peptide_or_protein
26, amino_acid_sequence
132, body_system
3, carbohydrate_sequence
82, functional_concept
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
79, spatial_concept
src, edge_attr, dst
26, isa, 70
26, isa, 32
26, isa, 79
26, property_of, 57
132, isa, 82
132, isa, 70
3, isa, 70
3, isa, 32
3, isa, 79
82, isa, 70
32, isa, 70
32, isa, 79
134, isa, 70
134, isa, 32
134, isa, 79
79, isa, 70
Question: How are amino_acid_peptide_or_protein, functional_concept, and molecular_sequence related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_peptide_or_protein",
"functional_concept",
"molecular_sequence"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"amino_acid_sequence",
"property_of",
"amino_acid_peptide_or_protein"
],
[
"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"
],
[
"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"
],
[
"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
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
5, virus
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
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
5, isa, 126
Question: In what context are machine_activity, social_behavior, and virus connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"machine_activity",
"social_behavior",
"virus"
],
"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"
],
[
"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"
],
[
"virus",
"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
24, daily_or_recreational_activity
107, educational_activity
50, event
91, governmental_or_regulatory_activity
128, health_care_related_organization
36, machine_activity
119, organism
31, organization
18, physiologic_function
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
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
18, affects, 119
18, isa, 50
18, process_of, 119
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: For what reason are organism, physiologic_function, and population_group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"organism",
"physiologic_function",
"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"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"physiologic_function",
"affects",
"organism"
],
[
"physiologic_function",
"isa",
"event"
],
[
"physiologic_function",
"process_of",
"organism"
],
[
"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
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
88, embryonic_structure
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
37, mammal
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
114, vertebrate
src, edge_attr, dst
69, isa, 50
22, part_of, 37
22, part_of, 114
64, affects, 122
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
24, isa, 69
24, isa, 50
68, contains, 61
68, isa, 113
68, isa, 59
107, isa, 69
107, isa, 50
107, isa, 27
88, isa, 22
88, part_of, 37
88, part_of, 114
124, exhibits, 64
124, exhibits, 122
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
91, isa, 69
91, isa, 50
91, isa, 27
10, isa, 17
10, property_of, 124
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, 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
37, exhibits, 64
37, exhibits, 122
37, isa, 114
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
41, carries_out, 107
41, carries_out, 91
41, carries_out, 53
41, carries_out, 27
41, isa, 17
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
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, 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, 124
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
122, isa, 50
114, exhibits, 64
114, exhibits, 122
114, interacts_with, 37
Question: In what context are family_group, mammal, and vertebrate connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"family_group",
"mammal",
"vertebrate"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"anatomical_structure",
"part_of",
"mammal"
],
[
"anatomical_structure",
"part_of",
"vertebrate"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"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"
],
[
"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"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"mammal"
],
[
"embryonic_structure",
"part_of",
"vertebrate"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"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"
],
[
"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",
"family_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",
"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"
],
[
"mammal",
"exhibits",
"behavior"
],
[
"mammal",
"exhibits",
"social_behavior"
],
[
"mammal",
"isa",
"vertebrate"
],
[
"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_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",
"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"
],
[
"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",
"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",
"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"
],
[
"vertebrate",
"exhibits",
"behavior"
],
[
"vertebrate",
"exhibits",
"social_behavior"
],
[
"vertebrate",
"interacts_with",
"mammal"
]
]
}
|
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
6, chemical_viewed_structurally
78, congenital_abnormality
src, edge_attr, dst
6, causes, 78
6, issue_in, 65
78, issue_in, 65
Question: For what reason are biomedical_occupation_or_discipline, chemical_viewed_structurally, and congenital_abnormality associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_occupation_or_discipline",
"chemical_viewed_structurally",
"congenital_abnormality"
],
"valid_edges": [
[
"chemical_viewed_structurally",
"causes",
"congenital_abnormality"
],
[
"chemical_viewed_structurally",
"issue_in",
"biomedical_occupation_or_discipline"
],
[
"congenital_abnormality",
"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
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
24, daily_or_recreational_activity
107, educational_activity
50, event
89, finding
82, functional_concept
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
45, human_caused_phenomenon_or_process
70, idea_or_concept
12, individual_behavior
36, machine_activity
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
111, qualitative_concept
96, quantitative_concept
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
69, isa, 50
26, isa, 17
26, isa, 70
94, isa, 17
94, isa, 70
132, isa, 17
132, isa, 70
3, isa, 17
3, isa, 70
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
89, isa, 17
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 69
91, isa, 50
10, isa, 17
45, isa, 50
70, isa, 17
12, associated_with, 42
12, associated_with, 10
12, conceptually_related_to, 70
12, isa, 69
12, isa, 50
36, isa, 69
36, isa, 50
32, isa, 17
32, isa, 70
134, isa, 17
134, isa, 70
27, isa, 69
27, isa, 50
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 107
111, evaluation_of, 91
111, evaluation_of, 12
111, evaluation_of, 36
111, evaluation_of, 27
111, isa, 17
111, isa, 70
96, isa, 17
96, isa, 70
96, measurement_of, 42
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: In what context are finding, human_caused_phenomenon_or_process, and individual_behavior connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"finding",
"human_caused_phenomenon_or_process",
"individual_behavior"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"body_location_or_region",
"isa",
"idea_or_concept"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"daily_or_recreational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"human_caused_phenomenon_or_process",
"isa",
"event"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"individual_behavior",
"associated_with",
"geographic_area"
],
[
"individual_behavior",
"associated_with",
"group_attribute"
],
[
"individual_behavior",
"conceptually_related_to",
"idea_or_concept"
],
[
"individual_behavior",
"isa",
"activity"
],
[
"individual_behavior",
"isa",
"event"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"molecular_sequence",
"isa",
"conceptual_entity"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"occupational_activity",
"isa",
"event"
],
[
"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",
"individual_behavior"
],
[
"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",
"geographic_area"
],
[
"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
128, health_care_related_organization
19, molecular_biology_research_technique
src, edge_attr, dst
128, carries_out, 19
128, location_of, 19
19, measures, 15
Question: For what reason are cell_function, health_care_related_organization, and molecular_biology_research_technique associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_function",
"health_care_related_organization",
"molecular_biology_research_technique"
],
"valid_edges": [
[
"health_care_related_organization",
"carries_out",
"molecular_biology_research_technique"
],
[
"health_care_related_organization",
"location_of",
"molecular_biology_research_technique"
],
[
"molecular_biology_research_technique",
"measures",
"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
22, anatomical_structure
73, archaeon
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
74, invertebrate
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
122, social_behavior
src, edge_attr, dst
22, part_of, 73
22, part_of, 74
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, 73
88, part_of, 74
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
74, exhibits, 64
74, exhibits, 122
74, interacts_with, 73
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: For what reason are archaeon, invertebrate, and self_help_or_relief_organization associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"archaeon",
"invertebrate",
"self_help_or_relief_organization"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"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"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"embryonic_structure",
"part_of",
"invertebrate"
],
[
"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"
],
[
"invertebrate",
"exhibits",
"behavior"
],
[
"invertebrate",
"exhibits",
"social_behavior"
],
[
"invertebrate",
"interacts_with",
"archaeon"
],
[
"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
15, cell_function
48, classification
24, daily_or_recreational_activity
128, health_care_related_organization
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
39, research_activity
67, research_device
40, self_help_or_relief_organization
108, temporal_concept
src, edge_attr, dst
15, occurs_in, 108
24, isa, 69
128, carries_out, 39
128, isa, 31
128, location_of, 39
128, produces, 48
128, produces, 55
128, produces, 66
36, isa, 69
31, carries_out, 39
31, location_of, 39
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 39
41, isa, 31
41, location_of, 39
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 36
111, evaluation_of, 39
111, isa, 70
96, isa, 70
96, measurement_of, 15
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
39, isa, 69
39, measures, 15
39, measures, 96
39, measures, 108
39, uses, 67
67, isa, 113
40, carries_out, 39
40, isa, 31
40, location_of, 39
40, produces, 48
40, produces, 55
40, produces, 66
108, conceptual_part_of, 15
108, isa, 70
Question: In what context are cell_function, manufactured_object, and research_activity connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_function",
"manufactured_object",
"research_activity"
],
"valid_edges": [
[
"cell_function",
"occurs_in",
"temporal_concept"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"health_care_related_organization",
"carries_out",
"research_activity"
],
[
"health_care_related_organization",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"research_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"
],
[
"organization",
"carries_out",
"research_activity"
],
[
"organization",
"location_of",
"research_activity"
],
[
"organization",
"produces",
"classification"
],
[
"organization",
"produces",
"intellectual_product"
],
[
"organization",
"produces",
"regulation_or_law"
],
[
"professional_society",
"carries_out",
"research_activity"
],
[
"professional_society",
"isa",
"organization"
],
[
"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",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"research_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"cell_function"
],
[
"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_activity",
"isa",
"activity"
],
[
"research_activity",
"measures",
"cell_function"
],
[
"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",
"research_activity"
],
[
"self_help_or_relief_organization",
"isa",
"organization"
],
[
"self_help_or_relief_organization",
"location_of",
"research_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"
],
[
"temporal_concept",
"conceptual_part_of",
"cell_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
26, amino_acid_sequence
3, carbohydrate_sequence
11, cell_or_molecular_dysfunction
35, gene_or_genome
32, molecular_sequence
134, nucleotide_sequence
79, spatial_concept
src, edge_attr, dst
26, isa, 32
26, isa, 79
26, property_of, 35
3, isa, 32
3, isa, 79
35, location_of, 11
32, isa, 79
134, isa, 32
134, isa, 79
134, property_of, 35
Question: How are cell_or_molecular_dysfunction, gene_or_genome, and spatial_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_or_molecular_dysfunction",
"gene_or_genome",
"spatial_concept"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"amino_acid_sequence",
"property_of",
"gene_or_genome"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"gene_or_genome",
"location_of",
"cell_or_molecular_dysfunction"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"property_of",
"gene_or_genome"
]
]
}
|
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
78, congenital_abnormality
109, genetic_function
131, organism_attribute
src, edge_attr, dst
78, affects, 109
78, associated_with, 131
78, manifestation_of, 109
78, result_of, 109
109, affects, 131
109, result_of, 78
131, manifestation_of, 109
131, measurement_of, 109
131, result_of, 109
Question: How are congenital_abnormality, genetic_function, and organism_attribute related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"congenital_abnormality",
"genetic_function",
"organism_attribute"
],
"valid_edges": [
[
"congenital_abnormality",
"affects",
"genetic_function"
],
[
"congenital_abnormality",
"associated_with",
"organism_attribute"
],
[
"congenital_abnormality",
"manifestation_of",
"genetic_function"
],
[
"congenital_abnormality",
"result_of",
"genetic_function"
],
[
"genetic_function",
"affects",
"organism_attribute"
],
[
"genetic_function",
"result_of",
"congenital_abnormality"
],
[
"organism_attribute",
"manifestation_of",
"genetic_function"
],
[
"organism_attribute",
"measurement_of",
"genetic_function"
],
[
"organism_attribute",
"result_of",
"genetic_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
15, cell_function
38, organic_chemical
108, temporal_concept
src, edge_attr, dst
15, occurs_in, 108
38, affects, 15
108, conceptual_part_of, 15
Question: For what reason are cell_function, organic_chemical, and temporal_concept associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_function",
"organic_chemical",
"temporal_concept"
],
"valid_edges": [
[
"cell_function",
"occurs_in",
"temporal_concept"
],
[
"organic_chemical",
"affects",
"cell_function"
],
[
"temporal_concept",
"conceptual_part_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
28, age_group
57, amino_acid_peptide_or_protein
25, amphibian
22, anatomical_structure
73, archaeon
64, behavior
121, biomedical_or_dental_material
116, bird
129, body_substance
61, clinical_drug
68, drug_delivery_device
81, element_ion_or_isotope
88, embryonic_structure
50, event
124, family_group
104, fish
75, food
16, group
13, indicator_reagent_or_diagnostic_aid
12, individual_behavior
14, inorganic_chemical
113, manufactured_object
59, medical_device
2, patient_or_disabled_group
71, phenomenon_or_process
126, physical_object
1, population_group
76, reptile
67, research_device
101, sign_or_symptom
122, social_behavior
84, substance
src, edge_attr, dst
28, produces, 61
28, produces, 68
28, produces, 113
28, produces, 59
28, produces, 67
28, uses, 61
28, uses, 68
28, uses, 113
28, uses, 59
28, uses, 67
57, ingredient_of, 61
57, interacts_with, 121
57, interacts_with, 81
57, interacts_with, 13
57, interacts_with, 14
57, isa, 126
57, isa, 84
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
129, consists_of, 57
129, ingredient_of, 61
129, isa, 126
129, isa, 84
129, surrounds, 88
61, isa, 113
61, isa, 126
68, contains, 61
68, isa, 113
68, isa, 59
68, isa, 126
68, treats, 101
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
124, produces, 61
124, produces, 68
124, produces, 113
124, produces, 59
124, produces, 67
124, uses, 61
124, uses, 68
124, uses, 113
124, uses, 59
124, uses, 67
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
16, produces, 61
16, produces, 68
16, produces, 113
16, produces, 59
16, produces, 67
16, uses, 61
16, uses, 68
16, uses, 113
16, uses, 59
16, uses, 67
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
59, isa, 113
59, isa, 126
59, treats, 101
2, produces, 61
2, produces, 68
2, produces, 113
2, produces, 59
2, produces, 67
2, uses, 61
2, uses, 68
2, uses, 113
2, uses, 59
2, uses, 67
71, isa, 50
1, produces, 61
1, produces, 68
1, produces, 113
1, produces, 59
1, produces, 67
1, uses, 61
1, uses, 68
1, uses, 113
1, uses, 59
1, uses, 67
76, exhibits, 64
76, exhibits, 12
76, exhibits, 122
76, interacts_with, 73
76, isa, 126
67, isa, 113
67, isa, 126
122, isa, 50
84, ingredient_of, 61
84, isa, 126
Question: How are amino_acid_peptide_or_protein, phenomenon_or_process, and physical_object related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_peptide_or_protein",
"phenomenon_or_process",
"physical_object"
],
"valid_edges": [
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"produces",
"drug_delivery_device"
],
[
"age_group",
"produces",
"manufactured_object"
],
[
"age_group",
"produces",
"medical_device"
],
[
"age_group",
"produces",
"research_device"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"age_group",
"uses",
"drug_delivery_device"
],
[
"age_group",
"uses",
"manufactured_object"
],
[
"age_group",
"uses",
"medical_device"
],
[
"age_group",
"uses",
"research_device"
],
[
"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",
"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",
"isa",
"physical_object"
],
[
"amino_acid_peptide_or_protein",
"isa",
"substance"
],
[
"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_substance",
"consists_of",
"amino_acid_peptide_or_protein"
],
[
"body_substance",
"ingredient_of",
"clinical_drug"
],
[
"body_substance",
"isa",
"physical_object"
],
[
"body_substance",
"isa",
"substance"
],
[
"body_substance",
"surrounds",
"embryonic_structure"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"clinical_drug",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"contains",
"clinical_drug"
],
[
"drug_delivery_device",
"isa",
"manufactured_object"
],
[
"drug_delivery_device",
"isa",
"medical_device"
],
[
"drug_delivery_device",
"isa",
"physical_object"
],
[
"drug_delivery_device",
"treats",
"sign_or_symptom"
],
[
"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"
],
[
"family_group",
"produces",
"clinical_drug"
],
[
"family_group",
"produces",
"drug_delivery_device"
],
[
"family_group",
"produces",
"manufactured_object"
],
[
"family_group",
"produces",
"medical_device"
],
[
"family_group",
"produces",
"research_device"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"family_group",
"uses",
"drug_delivery_device"
],
[
"family_group",
"uses",
"manufactured_object"
],
[
"family_group",
"uses",
"medical_device"
],
[
"family_group",
"uses",
"research_device"
],
[
"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"
],
[
"group",
"produces",
"clinical_drug"
],
[
"group",
"produces",
"drug_delivery_device"
],
[
"group",
"produces",
"manufactured_object"
],
[
"group",
"produces",
"medical_device"
],
[
"group",
"produces",
"research_device"
],
[
"group",
"uses",
"clinical_drug"
],
[
"group",
"uses",
"drug_delivery_device"
],
[
"group",
"uses",
"manufactured_object"
],
[
"group",
"uses",
"medical_device"
],
[
"group",
"uses",
"research_device"
],
[
"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"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"medical_device",
"treats",
"sign_or_symptom"
],
[
"patient_or_disabled_group",
"produces",
"clinical_drug"
],
[
"patient_or_disabled_group",
"produces",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"produces",
"manufactured_object"
],
[
"patient_or_disabled_group",
"produces",
"medical_device"
],
[
"patient_or_disabled_group",
"produces",
"research_device"
],
[
"patient_or_disabled_group",
"uses",
"clinical_drug"
],
[
"patient_or_disabled_group",
"uses",
"drug_delivery_device"
],
[
"patient_or_disabled_group",
"uses",
"manufactured_object"
],
[
"patient_or_disabled_group",
"uses",
"medical_device"
],
[
"patient_or_disabled_group",
"uses",
"research_device"
],
[
"phenomenon_or_process",
"isa",
"event"
],
[
"population_group",
"produces",
"clinical_drug"
],
[
"population_group",
"produces",
"drug_delivery_device"
],
[
"population_group",
"produces",
"manufactured_object"
],
[
"population_group",
"produces",
"medical_device"
],
[
"population_group",
"produces",
"research_device"
],
[
"population_group",
"uses",
"clinical_drug"
],
[
"population_group",
"uses",
"drug_delivery_device"
],
[
"population_group",
"uses",
"manufactured_object"
],
[
"population_group",
"uses",
"medical_device"
],
[
"population_group",
"uses",
"research_device"
],
[
"reptile",
"exhibits",
"behavior"
],
[
"reptile",
"exhibits",
"individual_behavior"
],
[
"reptile",
"exhibits",
"social_behavior"
],
[
"reptile",
"interacts_with",
"archaeon"
],
[
"reptile",
"isa",
"physical_object"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"research_device",
"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
15, cell_function
81, element_ion_or_isotope
114, vertebrate
src, edge_attr, dst
15, affects, 114
15, process_of, 114
81, affects, 15
Question: How are cell_function, element_ion_or_isotope, and vertebrate related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_function",
"element_ion_or_isotope",
"vertebrate"
],
"valid_edges": [
[
"cell_function",
"affects",
"vertebrate"
],
[
"cell_function",
"process_of",
"vertebrate"
],
[
"element_ion_or_isotope",
"affects",
"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
43, environmental_effect_of_humans
133, fully_formed_anatomical_structure
56, mental_process
src, edge_attr, dst
43, result_of, 56
133, location_of, 56
56, result_of, 43
Question: For what reason are environmental_effect_of_humans, fully_formed_anatomical_structure, and mental_process associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"environmental_effect_of_humans",
"fully_formed_anatomical_structure",
"mental_process"
],
"valid_edges": [
[
"environmental_effect_of_humans",
"result_of",
"mental_process"
],
[
"fully_formed_anatomical_structure",
"location_of",
"mental_process"
],
[
"mental_process",
"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
28, age_group
64, behavior
61, clinical_drug
17, conceptual_entity
50, event
124, family_group
42, geographic_area
10, group_attribute
70, idea_or_concept
134, nucleotide_sequence
111, qualitative_concept
117, receptor
122, social_behavior
src, edge_attr, dst
28, exhibits, 64
28, exhibits, 122
28, isa, 17
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, isa, 17
124, performs, 64
124, performs, 122
124, produces, 61
124, uses, 61
42, isa, 17
42, isa, 70
10, isa, 17
70, conceptual_part_of, 64
70, isa, 17
134, isa, 17
134, isa, 70
111, evaluation_of, 64
111, evaluation_of, 122
111, isa, 17
111, isa, 70
117, ingredient_of, 61
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 geographic_area, nucleotide_sequence, and receptor connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"geographic_area",
"nucleotide_sequence",
"receptor"
],
"valid_edges": [
[
"age_group",
"exhibits",
"behavior"
],
[
"age_group",
"exhibits",
"social_behavior"
],
[
"age_group",
"isa",
"conceptual_entity"
],
[
"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",
"isa",
"conceptual_entity"
],
[
"family_group",
"performs",
"behavior"
],
[
"family_group",
"performs",
"social_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"
],
[
"nucleotide_sequence",
"isa",
"conceptual_entity"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"social_behavior"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"receptor",
"ingredient_of",
"clinical_drug"
],
[
"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
65, biomedical_occupation_or_discipline
10, group_attribute
29, neoplastic_process
src, edge_attr, dst
10, issue_in, 65
29, issue_in, 65
Question: In what context are biomedical_occupation_or_discipline, group_attribute, and neoplastic_process connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_occupation_or_discipline",
"group_attribute",
"neoplastic_process"
],
"valid_edges": [
[
"group_attribute",
"issue_in",
"biomedical_occupation_or_discipline"
],
[
"neoplastic_process",
"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
48, classification
78, congenital_abnormality
24, daily_or_recreational_activity
107, educational_activity
35, gene_or_genome
91, governmental_or_regulatory_activity
128, health_care_related_organization
55, intellectual_product
113, manufactured_object
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
48, isa, 55
24, associated_with, 78
24, isa, 69
107, associated_with, 78
107, isa, 69
35, location_of, 78
91, associated_with, 78
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
113, causes, 78
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, 24
111, evaluation_of, 107
111, evaluation_of, 91
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
67, causes, 78
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
Question: In what context are congenital_abnormality, gene_or_genome, and self_help_or_relief_organization connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"congenital_abnormality",
"gene_or_genome",
"self_help_or_relief_organization"
],
"valid_edges": [
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"associated_with",
"congenital_abnormality"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"educational_activity",
"associated_with",
"congenital_abnormality"
],
[
"educational_activity",
"isa",
"activity"
],
[
"gene_or_genome",
"location_of",
"congenital_abnormality"
],
[
"governmental_or_regulatory_activity",
"associated_with",
"congenital_abnormality"
],
[
"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"
],
[
"manufactured_object",
"causes",
"congenital_abnormality"
],
[
"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",
"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"
],
[
"research_device",
"causes",
"congenital_abnormality"
],
[
"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"
]
]
}
|
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
116, bird
51, organism_function
7, therapeutic_or_preventive_procedure
src, edge_attr, dst
51, affects, 116
51, process_of, 116
7, affects, 51
7, complicates, 51
Question: For what reason are bird, organism_function, and therapeutic_or_preventive_procedure associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bird",
"organism_function",
"therapeutic_or_preventive_procedure"
],
"valid_edges": [
[
"organism_function",
"affects",
"bird"
],
[
"organism_function",
"process_of",
"bird"
],
[
"therapeutic_or_preventive_procedure",
"affects",
"organism_function"
],
[
"therapeutic_or_preventive_procedure",
"complicates",
"organism_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
28, age_group
26, amino_acid_sequence
90, antibiotic
64, behavior
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
107, educational_activity
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
36, machine_activity
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
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, 61
28, uses, 61
26, isa, 17
26, isa, 70
90, ingredient_of, 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
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
124, exhibits, 64
124, exhibits, 122
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, 61
124, uses, 61
42, isa, 17
42, isa, 70
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, 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
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, 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
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 27
40, isa, 17
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 27
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 amino_acid_sequence, antibiotic, and qualitative_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amino_acid_sequence",
"antibiotic",
"qualitative_concept"
],
"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",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"amino_acid_sequence",
"isa",
"conceptual_entity"
],
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"antibiotic",
"ingredient_of",
"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"
],
[
"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"
],
[
"family_group",
"exhibits",
"behavior"
],
[
"family_group",
"exhibits",
"social_behavior"
],
[
"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",
"clinical_drug"
],
[
"family_group",
"uses",
"clinical_drug"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_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",
"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"
],
[
"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",
"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"
],
[
"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",
"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",
"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
95, acquired_abnormality
92, cell
72, pharmacologic_substance
src, edge_attr, dst
92, location_of, 95
72, causes, 95
72, complicates, 95
72, disrupts, 92
72, treats, 95
Question: For what reason are acquired_abnormality, cell, and pharmacologic_substance associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"acquired_abnormality",
"cell",
"pharmacologic_substance"
],
"valid_edges": [
[
"cell",
"location_of",
"acquired_abnormality"
],
[
"pharmacologic_substance",
"causes",
"acquired_abnormality"
],
[
"pharmacologic_substance",
"complicates",
"acquired_abnormality"
],
[
"pharmacologic_substance",
"disrupts",
"cell"
],
[
"pharmacologic_substance",
"treats",
"acquired_abnormality"
]
]
}
|
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
115, carbohydrate
61, clinical_drug
33, eicosanoid
50, event
124, family_group
42, geographic_area
10, group_attribute
100, human
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
115, ingredient_of, 61
115, interacts_with, 33
33, ingredient_of, 61
124, exhibits, 64
124, exhibits, 122
124, performs, 64
124, performs, 122
124, produces, 61
124, uses, 61
100, exhibits, 64
100, exhibits, 122
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: In what context are carbohydrate, eicosanoid, and human connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate",
"eicosanoid",
"human"
],
"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"
],
[
"carbohydrate",
"ingredient_of",
"clinical_drug"
],
[
"carbohydrate",
"interacts_with",
"eicosanoid"
],
[
"eicosanoid",
"ingredient_of",
"clinical_drug"
],
[
"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"
],
[
"human",
"exhibits",
"behavior"
],
[
"human",
"exhibits",
"social_behavior"
],
[
"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
28, age_group
22, anatomical_structure
73, archaeon
64, behavior
121, biomedical_or_dental_material
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
88, embryonic_structure
124, family_group
75, food
91, governmental_or_regulatory_activity
16, group
10, group_attribute
53, health_care_activity
128, health_care_related_organization
55, intellectual_product
36, machine_activity
113, manufactured_object
59, medical_device
19, molecular_biology_research_technique
27, occupational_activity
2, patient_or_disabled_group
126, physical_object
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, 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, 19
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
22, part_of, 73
73, isa, 126
64, associated_with, 28
64, associated_with, 124
64, associated_with, 16
64, associated_with, 2
64, isa, 69
121, ingredient_of, 61
121, isa, 126
121, isa, 84
61, isa, 113
61, isa, 126
24, isa, 69
68, contains, 61
68, isa, 126
107, isa, 69
107, isa, 27
88, isa, 22
88, isa, 126
88, part_of, 73
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, 19
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
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, 19
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
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 19
128, carries_out, 27
128, isa, 17
128, location_of, 107
128, location_of, 91
128, location_of, 53
128, location_of, 19
128, location_of, 27
128, manages, 2
128, produces, 48
128, produces, 55
128, produces, 66
36, isa, 69
113, isa, 126
59, isa, 126
19, isa, 69
19, isa, 27
19, measures, 121
19, uses, 67
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, 19
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, 128
66, affects, 2
66, affects, 40
67, isa, 113
67, isa, 126
40, carries_out, 107
40, carries_out, 91
40, carries_out, 53
40, carries_out, 19
40, carries_out, 27
40, isa, 17
40, location_of, 107
40, location_of, 91
40, location_of, 53
40, location_of, 19
40, location_of, 27
40, manages, 2
40, produces, 48
40, produces, 55
40, produces, 66
122, associated_with, 28
122, associated_with, 124
122, associated_with, 16
122, associated_with, 2
122, isa, 69
84, ingredient_of, 61
84, isa, 126
Question: How are archaeon, biomedical_or_dental_material, and molecular_biology_research_technique related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"archaeon",
"biomedical_or_dental_material",
"molecular_biology_research_technique"
],
"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",
"molecular_biology_research_technique"
],
[
"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"
],
[
"anatomical_structure",
"part_of",
"archaeon"
],
[
"archaeon",
"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"
],
[
"biomedical_or_dental_material",
"ingredient_of",
"clinical_drug"
],
[
"biomedical_or_dental_material",
"isa",
"physical_object"
],
[
"biomedical_or_dental_material",
"isa",
"substance"
],
[
"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"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"isa",
"physical_object"
],
[
"embryonic_structure",
"part_of",
"archaeon"
],
[
"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",
"molecular_biology_research_technique"
],
[
"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"
],
[
"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",
"molecular_biology_research_technique"
],
[
"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"
],
[
"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",
"molecular_biology_research_technique"
],
[
"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",
"health_care_activity"
],
[
"health_care_related_organization",
"location_of",
"molecular_biology_research_technique"
],
[
"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"
],
[
"machine_activity",
"isa",
"activity"
],
[
"manufactured_object",
"isa",
"physical_object"
],
[
"medical_device",
"isa",
"physical_object"
],
[
"molecular_biology_research_technique",
"isa",
"activity"
],
[
"molecular_biology_research_technique",
"isa",
"occupational_activity"
],
[
"molecular_biology_research_technique",
"measures",
"biomedical_or_dental_material"
],
[
"molecular_biology_research_technique",
"uses",
"research_device"
],
[
"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",
"molecular_biology_research_technique"
],
[
"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",
"health_care_related_organization"
],
[
"regulation_or_law",
"affects",
"patient_or_disabled_group"
],
[
"regulation_or_law",
"affects",
"self_help_or_relief_organization"
],
[
"research_device",
"isa",
"manufactured_object"
],
[
"research_device",
"isa",
"physical_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",
"molecular_biology_research_technique"
],
[
"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",
"health_care_activity"
],
[
"self_help_or_relief_organization",
"location_of",
"molecular_biology_research_technique"
],
[
"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"
],
[
"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"
],
[
"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
130, bacterium
9, entity
108, temporal_concept
src, edge_attr, dst
130, isa, 9
108, isa, 9
Question: In what context are bacterium, entity, and temporal_concept connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"bacterium",
"entity",
"temporal_concept"
],
"valid_edges": [
[
"bacterium",
"isa",
"entity"
],
[
"temporal_concept",
"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
26, amino_acid_sequence
132, body_system
3, carbohydrate_sequence
48, classification
17, conceptual_entity
24, daily_or_recreational_activity
82, functional_concept
42, geographic_area
70, idea_or_concept
55, intellectual_product
36, machine_activity
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
79, spatial_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
48, isa, 17
48, isa, 55
24, isa, 69
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
70, isa, 17
55, isa, 17
36, isa, 69
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 36
111, isa, 17
111, isa, 70
79, isa, 17
79, isa, 70
Question: In what context are activity, conceptual_entity, and intellectual_product connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"activity",
"conceptual_entity",
"intellectual_product"
],
"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"
],
[
"classification",
"isa",
"conceptual_entity"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"isa",
"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"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"intellectual_product",
"isa",
"conceptual_entity"
],
[
"machine_activity",
"isa",
"activity"
],
[
"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",
"activity"
],
[
"qualitative_concept",
"evaluation_of",
"daily_or_recreational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"machine_activity"
],
[
"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
12, individual_behavior
111, qualitative_concept
114, vertebrate
src, edge_attr, dst
111, evaluation_of, 12
114, exhibits, 12
Question: For what reason are individual_behavior, qualitative_concept, and vertebrate associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"individual_behavior",
"qualitative_concept",
"vertebrate"
],
"valid_edges": [
[
"qualitative_concept",
"evaluation_of",
"individual_behavior"
],
[
"vertebrate",
"exhibits",
"individual_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
69, activity
94, body_location_or_region
48, classification
24, daily_or_recreational_activity
123, diagnostic_procedure
107, educational_activity
43, environmental_effect_of_humans
50, event
91, governmental_or_regulatory_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
85, laboratory_procedure
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
108, temporal_concept
src, edge_attr, dst
69, isa, 50
94, isa, 70
94, isa, 79
94, location_of, 123
48, isa, 55
24, isa, 69
24, isa, 50
123, isa, 69
123, isa, 50
123, measures, 96
123, measures, 108
123, uses, 113
123, uses, 67
107, isa, 69
107, isa, 50
43, isa, 50
91, isa, 69
91, isa, 50
128, carries_out, 123
128, carries_out, 107
128, carries_out, 91
128, carries_out, 85
128, isa, 31
128, location_of, 123
128, location_of, 107
128, location_of, 91
128, location_of, 85
128, produces, 48
128, produces, 55
128, produces, 66
55, conceptual_part_of, 123
85, isa, 69
85, isa, 50
85, measures, 96
85, measures, 108
85, method_of, 123
36, isa, 69
36, isa, 50
36, method_of, 123
36, method_of, 85
31, carries_out, 123
31, carries_out, 107
31, carries_out, 91
31, carries_out, 85
31, location_of, 123
31, location_of, 107
31, location_of, 91
31, location_of, 85
31, produces, 48
31, produces, 55
31, produces, 66
41, carries_out, 123
41, carries_out, 107
41, carries_out, 91
41, carries_out, 85
41, isa, 31
41, location_of, 123
41, location_of, 107
41, location_of, 91
41, location_of, 85
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, 85
111, evaluation_of, 36
111, isa, 70
96, isa, 70
96, measurement_of, 94
96, measurement_of, 79
66, affects, 128
66, affects, 31
66, affects, 41
66, affects, 40
66, isa, 55
67, isa, 113
40, carries_out, 123
40, carries_out, 107
40, carries_out, 91
40, carries_out, 85
40, isa, 31
40, location_of, 123
40, location_of, 107
40, location_of, 91
40, location_of, 85
40, produces, 48
40, produces, 55
40, produces, 66
108, isa, 70
Question: For what reason are diagnostic_procedure, environmental_effect_of_humans, and laboratory_procedure associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"diagnostic_procedure",
"environmental_effect_of_humans",
"laboratory_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",
"diagnostic_procedure"
],
[
"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",
"measures",
"quantitative_concept"
],
[
"diagnostic_procedure",
"measures",
"temporal_concept"
],
[
"diagnostic_procedure",
"uses",
"manufactured_object"
],
[
"diagnostic_procedure",
"uses",
"research_device"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"environmental_effect_of_humans",
"isa",
"event"
],
[
"governmental_or_regulatory_activity",
"isa",
"activity"
],
[
"governmental_or_regulatory_activity",
"isa",
"event"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"health_care_related_organization",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"intellectual_product",
"conceptual_part_of",
"diagnostic_procedure"
],
[
"laboratory_procedure",
"isa",
"activity"
],
[
"laboratory_procedure",
"isa",
"event"
],
[
"laboratory_procedure",
"measures",
"quantitative_concept"
],
[
"laboratory_procedure",
"measures",
"temporal_concept"
],
[
"laboratory_procedure",
"method_of",
"diagnostic_procedure"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"isa",
"event"
],
[
"machine_activity",
"method_of",
"diagnostic_procedure"
],
[
"machine_activity",
"method_of",
"laboratory_procedure"
],
[
"organization",
"carries_out",
"diagnostic_procedure"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"laboratory_procedure"
],
[
"organization",
"location_of",
"diagnostic_procedure"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_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",
"diagnostic_procedure"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_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",
"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"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_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"
],
[
"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
123, diagnostic_procedure
9, entity
16, group
src, edge_attr, dst
16, isa, 9
16, performs, 123
Question: For what reason are diagnostic_procedure, entity, and group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"diagnostic_procedure",
"entity",
"group"
],
"valid_edges": [
[
"group",
"isa",
"entity"
],
[
"group",
"performs",
"diagnostic_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
69, activity
48, classification
24, daily_or_recreational_activity
62, disease_or_syndrome
42, geographic_area
70, idea_or_concept
55, intellectual_product
36, machine_activity
41, professional_society
111, qualitative_concept
96, quantitative_concept
66, regulation_or_law
39, research_activity
108, temporal_concept
src, edge_attr, dst
48, isa, 55
24, associated_with, 62
24, isa, 69
42, associated_with, 62
42, isa, 70
36, isa, 69
41, carries_out, 39
41, location_of, 39
41, produces, 48
41, produces, 55
41, produces, 66
111, evaluation_of, 69
111, evaluation_of, 24
111, evaluation_of, 36
111, evaluation_of, 39
111, isa, 70
96, isa, 70
96, measurement_of, 42
66, affects, 41
66, isa, 55
39, associated_with, 62
39, isa, 69
39, measures, 62
39, measures, 96
39, measures, 108
108, isa, 70
Question: How are disease_or_syndrome, regulation_or_law, and research_activity related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"disease_or_syndrome",
"regulation_or_law",
"research_activity"
],
"valid_edges": [
[
"classification",
"isa",
"intellectual_product"
],
[
"daily_or_recreational_activity",
"associated_with",
"disease_or_syndrome"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"geographic_area",
"associated_with",
"disease_or_syndrome"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"machine_activity",
"isa",
"activity"
],
[
"professional_society",
"carries_out",
"research_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",
"machine_activity"
],
[
"qualitative_concept",
"evaluation_of",
"research_activity"
],
[
"qualitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"isa",
"idea_or_concept"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"regulation_or_law",
"affects",
"professional_society"
],
[
"regulation_or_law",
"isa",
"intellectual_product"
],
[
"research_activity",
"associated_with",
"disease_or_syndrome"
],
[
"research_activity",
"isa",
"activity"
],
[
"research_activity",
"measures",
"disease_or_syndrome"
],
[
"research_activity",
"measures",
"quantitative_concept"
],
[
"research_activity",
"measures",
"temporal_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
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
89, finding
82, functional_concept
42, geographic_area
70, idea_or_concept
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
96, quantitative_concept
79, spatial_concept
108, temporal_concept
src, edge_attr, dst
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
132, isa, 17
132, isa, 82
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, 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
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
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: How are body_location_or_region, finding, and nucleotide_sequence related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_location_or_region",
"finding",
"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"
],
[
"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_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"
],
[
"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",
"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"
],
[
"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"
],
[
"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
28, age_group
70, idea_or_concept
36, machine_activity
111, qualitative_concept
src, edge_attr, dst
28, performs, 36
111, evaluation_of, 36
111, isa, 70
Question: In what context are age_group, idea_or_concept, and qualitative_concept connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"age_group",
"idea_or_concept",
"qualitative_concept"
],
"valid_edges": [
[
"age_group",
"performs",
"machine_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
26, amino_acid_sequence
107, educational_activity
35, gene_or_genome
21, hormone
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
26, property_of, 35
35, produces, 21
21, disrupts, 35
134, isa, 70
134, isa, 32
134, isa, 79
134, property_of, 35
111, evaluation_of, 107
111, isa, 70
Question: In what context are educational_activity, gene_or_genome, and hormone connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"educational_activity",
"gene_or_genome",
"hormone"
],
"valid_edges": [
[
"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"
],
[
"gene_or_genome",
"produces",
"hormone"
],
[
"hormone",
"disrupts",
"gene_or_genome"
],
[
"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",
"evaluation_of",
"educational_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
94, body_location_or_region
132, body_system
17, conceptual_entity
42, geographic_area
70, idea_or_concept
30, language
98, pathologic_function
96, quantitative_concept
79, spatial_concept
114, vertebrate
src, edge_attr, dst
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 98
132, isa, 17
42, associated_with, 98
42, isa, 17
42, isa, 70
42, isa, 79
70, isa, 17
30, isa, 17
98, affects, 114
98, process_of, 114
96, isa, 17
96, measurement_of, 94
96, measurement_of, 42
79, isa, 17
Question: In what context are language, pathologic_function, and vertebrate connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"language",
"pathologic_function",
"vertebrate"
],
"valid_edges": [
[
"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",
"pathologic_function"
],
[
"body_system",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"associated_with",
"pathologic_function"
],
[
"geographic_area",
"isa",
"conceptual_entity"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"language",
"isa",
"conceptual_entity"
],
[
"pathologic_function",
"affects",
"vertebrate"
],
[
"pathologic_function",
"process_of",
"vertebrate"
],
[
"quantitative_concept",
"isa",
"conceptual_entity"
],
[
"quantitative_concept",
"measurement_of",
"body_location_or_region"
],
[
"quantitative_concept",
"measurement_of",
"geographic_area"
],
[
"spatial_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
11, cell_or_molecular_dysfunction
36, machine_activity
2, patient_or_disabled_group
111, qualitative_concept
src, edge_attr, dst
11, occurs_in, 2
2, performs, 36
111, evaluation_of, 36
Question: How are cell_or_molecular_dysfunction, patient_or_disabled_group, and qualitative_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_or_molecular_dysfunction",
"patient_or_disabled_group",
"qualitative_concept"
],
"valid_edges": [
[
"cell_or_molecular_dysfunction",
"occurs_in",
"patient_or_disabled_group"
],
[
"patient_or_disabled_group",
"performs",
"machine_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
69, activity
28, age_group
64, behavior
115, carbohydrate
48, classification
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
68, drug_delivery_device
107, educational_activity
33, eicosanoid
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
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
115, ingredient_of, 61
115, interacts_with, 33
115, isa, 84
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
33, ingredient_of, 61
33, isa, 84
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
84, ingredient_of, 61
Question: In what context are carbohydrate, eicosanoid, and social_behavior connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate",
"eicosanoid",
"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"
],
[
"carbohydrate",
"ingredient_of",
"clinical_drug"
],
[
"carbohydrate",
"interacts_with",
"eicosanoid"
],
[
"carbohydrate",
"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"
],
[
"eicosanoid",
"ingredient_of",
"clinical_drug"
],
[
"eicosanoid",
"isa",
"substance"
],
[
"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"
],
[
"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
22, anatomical_structure
121, biomedical_or_dental_material
61, clinical_drug
88, embryonic_structure
104, fish
75, food
34, immunologic_factor
84, substance
src, edge_attr, dst
22, part_of, 104
121, ingredient_of, 61
121, interacts_with, 34
121, isa, 84
88, isa, 22
88, part_of, 104
75, ingredient_of, 61
75, isa, 84
34, disrupts, 88
34, ingredient_of, 61
34, isa, 84
84, ingredient_of, 61
Question: For what reason are biomedical_or_dental_material, fish, and immunologic_factor associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biomedical_or_dental_material",
"fish",
"immunologic_factor"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"fish"
],
[
"biomedical_or_dental_material",
"ingredient_of",
"clinical_drug"
],
[
"biomedical_or_dental_material",
"interacts_with",
"immunologic_factor"
],
[
"biomedical_or_dental_material",
"isa",
"substance"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"fish"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"immunologic_factor",
"disrupts",
"embryonic_structure"
],
[
"immunologic_factor",
"ingredient_of",
"clinical_drug"
],
[
"immunologic_factor",
"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
44, body_part_organ_or_organ_component
132, body_system
82, functional_concept
70, idea_or_concept
111, qualitative_concept
src, edge_attr, dst
44, conceptual_part_of, 132
132, isa, 82
132, isa, 70
82, isa, 70
111, isa, 70
Question: How are body_part_organ_or_organ_component, body_system, and qualitative_concept related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_part_organ_or_organ_component",
"body_system",
"qualitative_concept"
],
"valid_edges": [
[
"body_part_organ_or_organ_component",
"conceptual_part_of",
"body_system"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"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
28, age_group
3, carbohydrate_sequence
61, clinical_drug
17, conceptual_entity
33, eicosanoid
124, family_group
42, geographic_area
70, idea_or_concept
14, inorganic_chemical
111, qualitative_concept
src, edge_attr, dst
28, isa, 17
28, produces, 61
28, uses, 61
3, isa, 17
3, isa, 70
33, ingredient_of, 61
33, interacts_with, 14
124, isa, 17
124, produces, 61
124, uses, 61
42, isa, 17
42, isa, 70
70, isa, 17
14, ingredient_of, 61
111, isa, 17
111, isa, 70
Question: How are carbohydrate_sequence, eicosanoid, and inorganic_chemical related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate_sequence",
"eicosanoid",
"inorganic_chemical"
],
"valid_edges": [
[
"age_group",
"isa",
"conceptual_entity"
],
[
"age_group",
"produces",
"clinical_drug"
],
[
"age_group",
"uses",
"clinical_drug"
],
[
"carbohydrate_sequence",
"isa",
"conceptual_entity"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"eicosanoid",
"ingredient_of",
"clinical_drug"
],
[
"eicosanoid",
"interacts_with",
"inorganic_chemical"
],
[
"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"
],
[
"idea_or_concept",
"isa",
"conceptual_entity"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"qualitative_concept",
"isa",
"conceptual_entity"
],
[
"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
102, biologically_active_substance
74, invertebrate
93, rickettsia_or_chlamydia
src, edge_attr, dst
93, interacts_with, 74
93, location_of, 102
Question: For what reason are biologically_active_substance, invertebrate, and rickettsia_or_chlamydia associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biologically_active_substance",
"invertebrate",
"rickettsia_or_chlamydia"
],
"valid_edges": [
[
"rickettsia_or_chlamydia",
"interacts_with",
"invertebrate"
],
[
"rickettsia_or_chlamydia",
"location_of",
"biologically_active_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
127, animal
64, behavior
61, clinical_drug
81, element_ion_or_isotope
75, food
42, geographic_area
10, group_attribute
70, idea_or_concept
125, nucleic_acid_nucleoside_or_nucleotide
134, nucleotide_sequence
111, qualitative_concept
122, social_behavior
84, substance
src, edge_attr, dst
127, exhibits, 64
127, exhibits, 122
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
81, ingredient_of, 61
81, isa, 84
75, ingredient_of, 61
75, isa, 84
70, conceptual_part_of, 64
125, ingredient_of, 61
125, interacts_with, 81
125, isa, 84
134, isa, 70
134, property_of, 125
111, evaluation_of, 64
111, evaluation_of, 122
122, affects, 64
122, associated_with, 42
122, associated_with, 10
122, isa, 69
122, isa, 64
84, ingredient_of, 61
Question: How are animal, element_ion_or_isotope, and nucleic_acid_nucleoside_or_nucleotide related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"animal",
"element_ion_or_isotope",
"nucleic_acid_nucleoside_or_nucleotide"
],
"valid_edges": [
[
"animal",
"exhibits",
"behavior"
],
[
"animal",
"exhibits",
"social_behavior"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"element_ion_or_isotope",
"ingredient_of",
"clinical_drug"
],
[
"element_ion_or_isotope",
"isa",
"substance"
],
[
"food",
"ingredient_of",
"clinical_drug"
],
[
"food",
"isa",
"substance"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"ingredient_of",
"clinical_drug"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"interacts_with",
"element_ion_or_isotope"
],
[
"nucleic_acid_nucleoside_or_nucleotide",
"isa",
"substance"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"property_of",
"nucleic_acid_nucleoside_or_nucleotide"
],
[
"qualitative_concept",
"evaluation_of",
"behavior"
],
[
"qualitative_concept",
"evaluation_of",
"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"
],
[
"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
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
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
48, isa, 17
61, isa, 113
24, isa, 69
24, isa, 50
68, contains, 61
107, isa, 69
107, isa, 50
107, isa, 27
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
91, isa, 27
10, isa, 17
10, property_of, 28
10, property_of, 124
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
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
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
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
0, ingredient_of, 61
Question: For what reason are geographic_area, occupational_activity, and vitamin associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"geographic_area",
"occupational_activity",
"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"
],
[
"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"
],
[
"educational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"event"
],
[
"educational_activity",
"isa",
"occupational_activity"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"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"
],
[
"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"
],
[
"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_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"
],
[
"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"
],
[
"vitamin",
"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
26, amino_acid_sequence
3, carbohydrate_sequence
10, group_attribute
70, idea_or_concept
12, individual_behavior
32, molecular_sequence
134, nucleotide_sequence
79, spatial_concept
src, edge_attr, dst
28, exhibits, 12
28, performs, 12
26, isa, 70
26, isa, 32
26, isa, 79
3, isa, 70
3, isa, 32
3, isa, 79
10, property_of, 28
12, associated_with, 28
12, associated_with, 10
12, conceptually_related_to, 70
32, isa, 70
32, isa, 79
134, isa, 70
134, isa, 32
134, isa, 79
79, isa, 70
Question: In what context are age_group, individual_behavior, and nucleotide_sequence connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"age_group",
"individual_behavior",
"nucleotide_sequence"
],
"valid_edges": [
[
"age_group",
"exhibits",
"individual_behavior"
],
[
"age_group",
"performs",
"individual_behavior"
],
[
"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"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"individual_behavior",
"associated_with",
"age_group"
],
[
"individual_behavior",
"associated_with",
"group_attribute"
],
[
"individual_behavior",
"conceptually_related_to",
"idea_or_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"
],
[
"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
26, amino_acid_sequence
132, body_system
3, carbohydrate_sequence
24, daily_or_recreational_activity
82, functional_concept
42, geographic_area
70, idea_or_concept
36, machine_activity
56, mental_process
32, molecular_sequence
134, nucleotide_sequence
1, population_group
111, qualitative_concept
79, spatial_concept
src, edge_attr, dst
26, isa, 70
26, isa, 32
26, isa, 79
26, result_of, 56
132, isa, 82
132, isa, 70
132, result_of, 56
3, isa, 70
3, isa, 32
3, isa, 79
3, result_of, 56
82, isa, 70
82, result_of, 56
42, isa, 70
42, isa, 79
42, result_of, 56
70, result_of, 56
32, isa, 70
32, isa, 79
32, result_of, 56
134, isa, 70
134, isa, 32
134, isa, 79
134, result_of, 56
1, performs, 24
1, performs, 36
111, evaluation_of, 24
111, evaluation_of, 36
111, isa, 70
111, result_of, 56
79, isa, 70
79, result_of, 56
Question: For what reason are idea_or_concept, mental_process, and population_group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"idea_or_concept",
"mental_process",
"population_group"
],
"valid_edges": [
[
"amino_acid_sequence",
"isa",
"idea_or_concept"
],
[
"amino_acid_sequence",
"isa",
"molecular_sequence"
],
[
"amino_acid_sequence",
"isa",
"spatial_concept"
],
[
"amino_acid_sequence",
"result_of",
"mental_process"
],
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"body_system",
"result_of",
"mental_process"
],
[
"carbohydrate_sequence",
"isa",
"idea_or_concept"
],
[
"carbohydrate_sequence",
"isa",
"molecular_sequence"
],
[
"carbohydrate_sequence",
"isa",
"spatial_concept"
],
[
"carbohydrate_sequence",
"result_of",
"mental_process"
],
[
"functional_concept",
"isa",
"idea_or_concept"
],
[
"functional_concept",
"result_of",
"mental_process"
],
[
"geographic_area",
"isa",
"idea_or_concept"
],
[
"geographic_area",
"isa",
"spatial_concept"
],
[
"geographic_area",
"result_of",
"mental_process"
],
[
"idea_or_concept",
"result_of",
"mental_process"
],
[
"molecular_sequence",
"isa",
"idea_or_concept"
],
[
"molecular_sequence",
"isa",
"spatial_concept"
],
[
"molecular_sequence",
"result_of",
"mental_process"
],
[
"nucleotide_sequence",
"isa",
"idea_or_concept"
],
[
"nucleotide_sequence",
"isa",
"molecular_sequence"
],
[
"nucleotide_sequence",
"isa",
"spatial_concept"
],
[
"nucleotide_sequence",
"result_of",
"mental_process"
],
[
"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"
],
[
"qualitative_concept",
"result_of",
"mental_process"
],
[
"spatial_concept",
"isa",
"idea_or_concept"
],
[
"spatial_concept",
"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
69, activity
48, classification
24, daily_or_recreational_activity
107, educational_activity
50, event
91, governmental_or_regulatory_activity
128, health_care_related_organization
55, intellectual_product
36, machine_activity
31, organization
41, professional_society
111, qualitative_concept
66, regulation_or_law
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
48, isa, 55
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, isa, 31
128, location_of, 107
128, location_of, 91
128, produces, 48
128, produces, 55
128, produces, 66
36, isa, 69
36, isa, 50
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
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 daily_or_recreational_activity, event, and regulation_or_law related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"daily_or_recreational_activity",
"event",
"regulation_or_law"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"classification",
"isa",
"intellectual_product"
],
[
"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",
"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"
],
[
"machine_activity",
"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"
],
[
"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"
],
[
"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
123, diagnostic_procedure
53, health_care_activity
67, research_device
src, edge_attr, dst
123, isa, 53
123, uses, 67
Question: How are diagnostic_procedure, health_care_activity, and research_device related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"diagnostic_procedure",
"health_care_activity",
"research_device"
],
"valid_edges": [
[
"diagnostic_procedure",
"isa",
"health_care_activity"
],
[
"diagnostic_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
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
14, inorganic_chemical
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
84, substance
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, 23
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
14, ingredient_of, 61
14, isa, 84
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
23, isa, 17
23, manages, 128
23, manages, 31
23, manages, 41
23, manages, 40
23, performs, 69
23, performs, 24
23, performs, 107
23, performs, 91
23, performs, 36
23, performs, 27
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, 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, 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, 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, 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
84, ingredient_of, 61
Question: For what reason are food, inorganic_chemical, and professional_or_occupational_group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"food",
"inorganic_chemical",
"professional_or_occupational_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"
],
[
"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",
"professional_or_occupational_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",
"produces",
"classification"
],
[
"health_care_related_organization",
"produces",
"intellectual_product"
],
[
"health_care_related_organization",
"produces",
"regulation_or_law"
],
[
"inorganic_chemical",
"ingredient_of",
"clinical_drug"
],
[
"inorganic_chemical",
"isa",
"substance"
],
[
"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_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",
"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",
"machine_activity"
],
[
"professional_or_occupational_group",
"performs",
"occupational_activity"
],
[
"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",
"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",
"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",
"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",
"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"
],
[
"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
22, anatomical_structure
90, antibiotic
61, clinical_drug
88, embryonic_structure
75, food
84, substance
5, virus
src, edge_attr, dst
22, location_of, 5
22, part_of, 5
90, disrupts, 88
90, ingredient_of, 61
90, isa, 84
88, isa, 22
88, location_of, 5
88, part_of, 5
75, ingredient_of, 61
75, isa, 84
84, ingredient_of, 61
Question: For what reason are antibiotic, substance, and virus associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"antibiotic",
"substance",
"virus"
],
"valid_edges": [
[
"anatomical_structure",
"location_of",
"virus"
],
[
"anatomical_structure",
"part_of",
"virus"
],
[
"antibiotic",
"disrupts",
"embryonic_structure"
],
[
"antibiotic",
"ingredient_of",
"clinical_drug"
],
[
"antibiotic",
"isa",
"substance"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"location_of",
"virus"
],
[
"embryonic_structure",
"part_of",
"virus"
],
[
"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
92, cell
123, diagnostic_procedure
55, intellectual_product
src, edge_attr, dst
92, location_of, 123
55, conceptual_part_of, 123
Question: In what context are cell, diagnostic_procedure, and intellectual_product connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell",
"diagnostic_procedure",
"intellectual_product"
],
"valid_edges": [
[
"cell",
"location_of",
"diagnostic_procedure"
],
[
"intellectual_product",
"conceptual_part_of",
"diagnostic_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
69, activity
28, age_group
64, behavior
94, body_location_or_region
103, body_space_or_junction
132, body_system
106, cell_component
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
10, group_attribute
53, health_care_activity
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
85, laboratory_procedure
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
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, 85
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
64, isa, 69
94, adjacent_to, 103
94, conceptual_part_of, 132
103, conceptual_part_of, 132
103, isa, 17
103, isa, 70
103, isa, 79
103, location_of, 106
132, isa, 17
132, isa, 70
106, adjacent_to, 103
106, conceptual_part_of, 132
106, location_of, 103
61, isa, 113
24, isa, 69
68, isa, 113
107, isa, 69
107, isa, 27
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, 85
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
91, isa, 27
10, property_of, 28
10, property_of, 124
53, isa, 69
53, isa, 27
128, carries_out, 107
128, carries_out, 91
128, carries_out, 53
128, carries_out, 85
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, 85
128, location_of, 27
128, produces, 48
128, produces, 55
128, produces, 66
85, isa, 69
85, isa, 53
85, isa, 27
85, measures, 96
85, measures, 108
36, isa, 69
36, method_of, 85
59, isa, 113
27, isa, 69
31, carries_out, 107
31, carries_out, 91
31, carries_out, 53
31, carries_out, 85
31, carries_out, 27
31, isa, 17
31, location_of, 107
31, location_of, 91
31, location_of, 53
31, location_of, 85
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, 85
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, 85
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, 85
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, 79
66, affects, 28
66, affects, 124
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, 53
40, carries_out, 85
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, 85
40, location_of, 27
40, produces, 48
40, produces, 55
40, produces, 66
122, associated_with, 28
122, associated_with, 124
122, isa, 69
108, isa, 17
108, isa, 70
Question: For what reason are cell_component, laboratory_procedure, and research_device associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"cell_component",
"laboratory_procedure",
"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",
"laboratory_procedure"
],
[
"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"
],
[
"behavior",
"isa",
"activity"
],
[
"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",
"isa",
"conceptual_entity"
],
[
"body_space_or_junction",
"isa",
"idea_or_concept"
],
[
"body_space_or_junction",
"isa",
"spatial_concept"
],
[
"body_space_or_junction",
"location_of",
"cell_component"
],
[
"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",
"location_of",
"body_space_or_junction"
],
[
"clinical_drug",
"isa",
"manufactured_object"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"drug_delivery_device",
"isa",
"manufactured_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",
"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",
"laboratory_procedure"
],
[
"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"
],
[
"governmental_or_regulatory_activity",
"isa",
"occupational_activity"
],
[
"group_attribute",
"property_of",
"age_group"
],
[
"group_attribute",
"property_of",
"family_group"
],
[
"health_care_activity",
"isa",
"activity"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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"
],
[
"laboratory_procedure",
"isa",
"activity"
],
[
"laboratory_procedure",
"isa",
"health_care_activity"
],
[
"laboratory_procedure",
"isa",
"occupational_activity"
],
[
"laboratory_procedure",
"measures",
"quantitative_concept"
],
[
"laboratory_procedure",
"measures",
"temporal_concept"
],
[
"machine_activity",
"isa",
"activity"
],
[
"machine_activity",
"method_of",
"laboratory_procedure"
],
[
"medical_device",
"isa",
"manufactured_object"
],
[
"occupational_activity",
"isa",
"activity"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"carries_out",
"health_care_activity"
],
[
"organization",
"carries_out",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"spatial_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"
],
[
"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",
"laboratory_procedure"
],
[
"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",
"laboratory_procedure"
],
[
"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"
],
[
"social_behavior",
"isa",
"activity"
],
[
"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
44, body_part_organ_or_organ_component
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
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
64, associated_with, 28
64, associated_with, 124
94, adjacent_to, 44
94, adjacent_to, 103
94, conceptual_part_of, 132
94, isa, 17
94, isa, 70
94, isa, 79
94, location_of, 44
44, adjacent_to, 103
44, conceptual_part_of, 132
44, connected_to, 103
44, interconnects, 103
44, location_of, 94
44, location_of, 103
103, conceptual_part_of, 132
103, contains, 44
103, isa, 17
103, isa, 70
103, isa, 79
103, part_of, 44
132, isa, 17
132, isa, 82
132, isa, 70
3, isa, 17
3, isa, 70
3, isa, 32
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
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: In what context are body_part_organ_or_organ_component, nucleotide_sequence, and research_device connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_part_organ_or_organ_component",
"nucleotide_sequence",
"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"
],
[
"behavior",
"associated_with",
"age_group"
],
[
"behavior",
"associated_with",
"family_group"
],
[
"body_location_or_region",
"adjacent_to",
"body_part_organ_or_organ_component"
],
[
"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",
"body_part_organ_or_organ_component"
],
[
"body_part_organ_or_organ_component",
"adjacent_to",
"body_space_or_junction"
],
[
"body_part_organ_or_organ_component",
"conceptual_part_of",
"body_system"
],
[
"body_part_organ_or_organ_component",
"connected_to",
"body_space_or_junction"
],
[
"body_part_organ_or_organ_component",
"interconnects",
"body_space_or_junction"
],
[
"body_part_organ_or_organ_component",
"location_of",
"body_location_or_region"
],
[
"body_part_organ_or_organ_component",
"location_of",
"body_space_or_junction"
],
[
"body_space_or_junction",
"conceptual_part_of",
"body_system"
],
[
"body_space_or_junction",
"contains",
"body_part_organ_or_organ_component"
],
[
"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",
"part_of",
"body_part_organ_or_organ_component"
],
[
"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"
],
[
"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"
],
[
"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
26, amino_acid_sequence
25, amphibian
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
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
25, exhibits, 64
25, 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
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, 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: For what reason are amphibian, conceptual_entity, and health_care_activity associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"amphibian",
"conceptual_entity",
"health_care_activity"
],
"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"
],
[
"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"
],
[
"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",
"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
69, activity
22, anatomical_structure
64, behavior
102, biologically_active_substance
116, bird
61, clinical_drug
17, conceptual_entity
24, daily_or_recreational_activity
107, educational_activity
88, embryonic_structure
50, event
75, food
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
27, occupational_activity
31, organization
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
122, social_behavior
84, substance
src, edge_attr, dst
69, isa, 50
22, part_of, 116
64, affects, 122
64, associated_with, 42
64, associated_with, 10
64, isa, 69
64, isa, 50
102, disrupts, 88
102, ingredient_of, 61
102, isa, 84
116, exhibits, 64
116, exhibits, 122
24, isa, 69
24, isa, 50
107, isa, 69
107, isa, 50
107, isa, 27
88, isa, 22
88, part_of, 116
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
70, conceptual_part_of, 64
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, 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
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
84, ingredient_of, 61
Question: In what context are biologically_active_substance, bird, and educational_activity connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"biologically_active_substance",
"bird",
"educational_activity"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"anatomical_structure",
"part_of",
"bird"
],
[
"behavior",
"affects",
"social_behavior"
],
[
"behavior",
"associated_with",
"geographic_area"
],
[
"behavior",
"associated_with",
"group_attribute"
],
[
"behavior",
"isa",
"activity"
],
[
"behavior",
"isa",
"event"
],
[
"biologically_active_substance",
"disrupts",
"embryonic_structure"
],
[
"biologically_active_substance",
"ingredient_of",
"clinical_drug"
],
[
"biologically_active_substance",
"isa",
"substance"
],
[
"bird",
"exhibits",
"behavior"
],
[
"bird",
"exhibits",
"social_behavior"
],
[
"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"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"bird"
],
[
"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"
],
[
"idea_or_concept",
"conceptual_part_of",
"behavior"
],
[
"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",
"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"
],
[
"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"
],
[
"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
107, educational_activity
50, event
91, governmental_or_regulatory_activity
128, health_care_related_organization
110, molecular_function
77, neuroreactive_substance_or_biogenic_amine
31, organization
41, professional_society
111, qualitative_concept
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
107, isa, 69
107, isa, 50
91, isa, 69
91, isa, 50
128, carries_out, 107
128, carries_out, 91
128, isa, 31
128, location_of, 107
128, location_of, 91
110, isa, 50
110, produces, 77
77, affects, 110
77, complicates, 110
77, disrupts, 110
31, carries_out, 107
31, carries_out, 91
31, location_of, 107
31, location_of, 91
41, carries_out, 107
41, carries_out, 91
41, isa, 31
41, location_of, 107
41, location_of, 91
111, evaluation_of, 107
111, evaluation_of, 91
40, carries_out, 107
40, carries_out, 91
40, isa, 31
40, location_of, 107
40, location_of, 91
Question: How are molecular_function, neuroreactive_substance_or_biogenic_amine, and organization related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"molecular_function",
"neuroreactive_substance_or_biogenic_amine",
"organization"
],
"valid_edges": [
[
"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",
"isa",
"organization"
],
[
"health_care_related_organization",
"location_of",
"educational_activity"
],
[
"health_care_related_organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"molecular_function",
"isa",
"event"
],
[
"molecular_function",
"produces",
"neuroreactive_substance_or_biogenic_amine"
],
[
"neuroreactive_substance_or_biogenic_amine",
"affects",
"molecular_function"
],
[
"neuroreactive_substance_or_biogenic_amine",
"complicates",
"molecular_function"
],
[
"neuroreactive_substance_or_biogenic_amine",
"disrupts",
"molecular_function"
],
[
"organization",
"carries_out",
"educational_activity"
],
[
"organization",
"carries_out",
"governmental_or_regulatory_activity"
],
[
"organization",
"location_of",
"educational_activity"
],
[
"organization",
"location_of",
"governmental_or_regulatory_activity"
],
[
"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"
],
[
"qualitative_concept",
"evaluation_of",
"educational_activity"
],
[
"qualitative_concept",
"evaluation_of",
"governmental_or_regulatory_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",
"isa",
"organization"
],
[
"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
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
107, educational_activity
82, functional_concept
42, geographic_area
91, governmental_or_regulatory_activity
10, group_attribute
128, health_care_related_organization
70, idea_or_concept
55, intellectual_product
36, machine_activity
32, molecular_sequence
134, nucleotide_sequence
27, occupational_activity
131, organism_attribute
31, organization
23, professional_or_occupational_group
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
24, isa, 69
107, isa, 69
107, isa, 27
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
91, isa, 69
91, isa, 27
10, isa, 17
10, property_of, 23
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
36, isa, 69
32, isa, 17
32, isa, 70
32, isa, 79
134, isa, 17
134, isa, 70
134, isa, 32
134, isa, 79
27, isa, 69
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
23, isa, 17
23, manages, 128
23, manages, 31
23, manages, 41
23, manages, 40
23, performs, 69
23, performs, 24
23, performs, 107
23, performs, 91
23, performs, 36
23, performs, 27
23, produces, 48
23, produces, 55
23, produces, 66
23, uses, 48
23, uses, 55
23, uses, 66
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, 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
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, 23
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: For what reason are nucleotide_sequence, organism_attribute, and professional_or_occupational_group associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"nucleotide_sequence",
"organism_attribute",
"professional_or_occupational_group"
],
"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"
],
[
"daily_or_recreational_activity",
"isa",
"activity"
],
[
"educational_activity",
"isa",
"activity"
],
[
"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",
"occupational_activity"
],
[
"group_attribute",
"isa",
"conceptual_entity"
],
[
"group_attribute",
"property_of",
"professional_or_occupational_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",
"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"
],
[
"machine_activity",
"isa",
"activity"
],
[
"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"
],
[
"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"
],
[
"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",
"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",
"machine_activity"
],
[
"professional_or_occupational_group",
"performs",
"occupational_activity"
],
[
"professional_or_occupational_group",
"produces",
"classification"
],
[
"professional_or_occupational_group",
"produces",
"intellectual_product"
],
[
"professional_or_occupational_group",
"produces",
"regulation_or_law"
],
[
"professional_or_occupational_group",
"uses",
"classification"
],
[
"professional_or_occupational_group",
"uses",
"intellectual_product"
],
[
"professional_or_occupational_group",
"uses",
"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",
"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",
"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"
],
[
"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_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"
],
[
"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
26, amino_acid_sequence
94, body_location_or_region
132, body_system
3, carbohydrate_sequence
17, conceptual_entity
75, food
82, functional_concept
42, geographic_area
70, idea_or_concept
52, laboratory_or_test_result
32, molecular_sequence
134, nucleotide_sequence
111, qualitative_concept
96, quantitative_concept
79, spatial_concept
84, substance
108, temporal_concept
src, edge_attr, dst
26, isa, 17
26, isa, 70
26, isa, 32
26, isa, 79
94, conceptual_part_of, 132
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
75, isa, 84
82, isa, 17
82, isa, 70
42, isa, 17
42, isa, 70
42, isa, 79
70, isa, 17
52, isa, 17
52, measurement_of, 75
52, measurement_of, 84
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
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
79, isa, 17
79, isa, 70
108, isa, 17
108, isa, 70
Question: How are laboratory_or_test_result, quantitative_concept, and substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"laboratory_or_test_result",
"quantitative_concept",
"substance"
],
"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",
"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_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"
],
[
"food",
"isa",
"substance"
],
[
"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",
"isa",
"conceptual_entity"
],
[
"laboratory_or_test_result",
"isa",
"conceptual_entity"
],
[
"laboratory_or_test_result",
"measurement_of",
"food"
],
[
"laboratory_or_test_result",
"measurement_of",
"substance"
],
[
"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"
],
[
"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"
],
[
"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
132, body_system
115, carbohydrate
106, cell_component
82, functional_concept
70, idea_or_concept
108, temporal_concept
src, edge_attr, dst
132, isa, 82
132, isa, 70
106, conceptual_part_of, 132
106, produces, 115
82, isa, 70
108, isa, 70
Question: For what reason are carbohydrate, cell_component, and temporal_concept associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"carbohydrate",
"cell_component",
"temporal_concept"
],
"valid_edges": [
[
"body_system",
"isa",
"functional_concept"
],
[
"body_system",
"isa",
"idea_or_concept"
],
[
"cell_component",
"conceptual_part_of",
"body_system"
],
[
"cell_component",
"produces",
"carbohydrate"
],
[
"functional_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
103, body_space_or_junction
113, manufactured_object
29, neoplastic_process
src, edge_attr, dst
103, location_of, 29
113, causes, 29
Question: For what reason are body_space_or_junction, manufactured_object, and neoplastic_process associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_space_or_junction",
"manufactured_object",
"neoplastic_process"
],
"valid_edges": [
[
"body_space_or_junction",
"location_of",
"neoplastic_process"
],
[
"manufactured_object",
"causes",
"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
112, alga
92, cell
98, pathologic_function
src, edge_attr, dst
92, location_of, 98
92, part_of, 112
98, affects, 112
98, process_of, 112
Question: In what context are alga, cell, and pathologic_function connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"alga",
"cell",
"pathologic_function"
],
"valid_edges": [
[
"cell",
"location_of",
"pathologic_function"
],
[
"cell",
"part_of",
"alga"
],
[
"pathologic_function",
"affects",
"alga"
],
[
"pathologic_function",
"process_of",
"alga"
]
]
}
|
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
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
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
117, receptor
66, regulation_or_law
67, research_device
40, self_help_or_relief_organization
src, edge_attr, dst
69, isa, 50
94, isa, 17
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
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
117, ingredient_of, 61
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
Question: How are body_location_or_region, group, and receptor related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"body_location_or_region",
"group",
"receptor"
],
"valid_edges": [
[
"activity",
"isa",
"event"
],
[
"body_location_or_region",
"isa",
"conceptual_entity"
],
[
"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",
"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"
],
[
"receptor",
"ingredient_of",
"clinical_drug"
],
[
"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"
]
]
}
|
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
23, professional_or_occupational_group
0, vitamin
src, edge_attr, dst
95, occurs_in, 23
0, causes, 95
0, complicates, 95
Question: For what reason are acquired_abnormality, professional_or_occupational_group, and vitamin associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"acquired_abnormality",
"professional_or_occupational_group",
"vitamin"
],
"valid_edges": [
[
"acquired_abnormality",
"occurs_in",
"professional_or_occupational_group"
],
[
"vitamin",
"causes",
"acquired_abnormality"
],
[
"vitamin",
"complicates",
"acquired_abnormality"
]
]
}
|
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
22, anatomical_structure
121, biomedical_or_dental_material
61, clinical_drug
88, embryonic_structure
75, food
99, hazardous_or_poisonous_substance
84, substance
src, edge_attr, dst
22, part_of, 112
121, ingredient_of, 61
121, interacts_with, 99
121, isa, 84
88, isa, 22
88, part_of, 112
75, ingredient_of, 61
75, isa, 84
99, disrupts, 88
99, ingredient_of, 61
99, isa, 84
84, ingredient_of, 61
Question: How are alga, biomedical_or_dental_material, and hazardous_or_poisonous_substance related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"alga",
"biomedical_or_dental_material",
"hazardous_or_poisonous_substance"
],
"valid_edges": [
[
"anatomical_structure",
"part_of",
"alga"
],
[
"biomedical_or_dental_material",
"ingredient_of",
"clinical_drug"
],
[
"biomedical_or_dental_material",
"interacts_with",
"hazardous_or_poisonous_substance"
],
[
"biomedical_or_dental_material",
"isa",
"substance"
],
[
"embryonic_structure",
"isa",
"anatomical_structure"
],
[
"embryonic_structure",
"part_of",
"alga"
],
[
"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"
],
[
"substance",
"ingredient_of",
"clinical_drug"
]
]
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.