Dataset Viewer
Auto-converted to Parquet
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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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 β€” no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs β†’ 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" ] ] }
End of preview. Expand in Data Studio
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

TODO

Downloads last month
26