Dataset Viewer
Auto-converted to Parquet Duplicate
triple1
listlengths
3
3
triple2
listlengths
3
3
triple3
listlengths
3
3
triple1_labels
listlengths
3
3
triple2_labels
listlengths
3
3
triple3_labels
listlengths
3
3
description
stringclasses
9 values
keep_triple
bool
1 class
query_prompt
stringclasses
10 values
query
stringclasses
10 values
entity_a
stringclasses
10 values
entity_b
stringclasses
10 values
rel_b
stringclasses
10 values
prompt
stringclasses
10 values
raw_responses
stringclasses
10 values
[ "Q14904550", "P2293", "Q11081" ]
[ "Q18033761", "P2293", "Q11081" ]
[ "Q18033761", "P688", "Q21141173" ]
[ "APOC1", "genetic association", "Alzheimer's disease" ]
[ "MPZL1", "genetic association", "Alzheimer's disease" ]
[ "MPZL1", "encodes", "Myelin protein zero-like 1, isoform CRA_b" ]
Q11081__P2293
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting APOC1, a protein involved in lipid metabolism, and a substance that encodes myelin protein zero-like 1, isoform CRA_b?
APOC1
Myelin protein zero-like 1, isoform CRA_b
encodes
Query: What are different ways of connecting APOC1, a protein involved in lipid metabolism, and a substance that encodes myelin protein zero-like 1, isoform CRA_b? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"APOC1\",\n \"physically interacts with\",\n \"APOE\"\n ],\n [\n \"APOE\",\n \"physically interacts with\",\n \"MPZL1\"\n ],\n [\n \"MPZL1 gene\",\n \"encodes\",\n \"Myelin protein zero-...
[ "Q175519", "P166", "Q38104" ]
[ "Q202168", "P166", "Q38104" ]
[ "Q202168", "P108", "Q1191132" ]
[ "Raymond Davis Jr.", "award received", "Nobel Prize in Physics" ]
[ "Toshihide Maskawa", "award received", "Nobel Prize in Physics" ]
[ "Toshihide Maskawa", "employer", "Nagoya University" ]
Q38104__P166
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Raymond Davis Jr., the American astrophysicist, and someone who is employed by Nagoya University?
Raymond Davis Jr.
Nagoya University
employer
Query: What are different ways of connecting Raymond Davis Jr., the American astrophysicist, and someone who is employed by Nagoya University? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Raymond Davis Jr.\",\n \"award received\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Nobel Prize in Physics\",\n \"award winner\",\n \"Toshihide Maskawa\"\n ],\n [\n \"Toshihide Maskawa\",\n ...
[ "Q16006056", "P40", "Q2153" ]
[ "Q19665745", "P40", "Q2153" ]
[ "Q19665745", "P551", "Q1348" ]
[ "Janakinath Bose", "child", "Subhas Chandra Bose" ]
[ "Prabhabati Bose", "child", "Subhas Chandra Bose" ]
[ "Prabhabati Bose", "residence", "Kolkata" ]
Q2153__P40
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Janakinath Bose, an influential figure in Indian history, and someone who resides in Kolkata?
Janakinath Bose
Kolkata
residence
Query: What are different ways of connecting Janakinath Bose, an influential figure in Indian history, and someone who resides in Kolkata? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Janakinath Bose\",\n \"father of\",\n \"Subhas Chandra Bose\"\n ],\n [\n \"Subhas Chandra Bose\",\n \"founder of\",\n \"All India Forward Bloc\"\n ],\n [\n \"All India Forward Bloc\",\n \"he...
[ "Q1672108", "P2175", "Q16499" ]
[ "Q377342", "P2175", "Q16499" ]
[ "Q377342", "P2868", "Q50430176" ]
[ "iopanoic acid", "medical condition treated", "hyperthyroidism" ]
[ "propylthiouracil", "medical condition treated", "hyperthyroidism" ]
[ "propylthiouracil", "subject has role", "antithyroid agents" ]
Q16499__P2175
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting iopanoic acid, a chemical compound, and a substance that has a role as an antithyroid agent?
iopanoic acid
antithyroid agents
subject has role
Query: What are different ways of connecting iopanoic acid, a chemical compound, and a substance that has a role as an antithyroid agent? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a ...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"iopanoic acid\",\n \"subject has role\",\n \"antithyroid agents\"\n ]\n ],\n \"2\": [\n [\n \"iopanoic acid\",\n \"physically interacts with\",\n \"Type I iodothyronine deiodinase\"\n ],\n [\n ...
[ "Q1365270", "P166", "Q38104" ]
[ "Q76797", "P166", "Q38104" ]
[ "Q76797", "P185", "Q17521573" ]
[ "John Clauser", "award received", "Nobel Prize in Physics" ]
[ "J. Hans D. Jensen", "award received", "Nobel Prize in Physics" ]
[ "J. Hans D. Jensen", "doctoral student", "Berthold Stech" ]
Q38104__P166
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting John Clauser, a prominent physicist, and someone who has been a doctoral student of J. Hans D. Jensen?
John Clauser
Berthold Stech
doctoral student
Query: What are different ways of connecting John Clauser, a prominent physicist, and someone who has been a doctoral student of J. Hans D. Jensen? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) ...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"John Clauser\",\n \"award received\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Nobel Prize in Physics\",\n \"award received\",\n \"J. Hans D. Jensen\"\n ],\n [\n \"J. Hans D. Jensen\",\n \"...
[ "Q9588", "P39", "Q11696" ]
[ "Q9696", "P39", "Q11696" ]
[ "Q9696", "P800", "Q3566941" ]
[ "Richard Nixon", "position held", "President of the United States" ]
[ "John F. Kennedy", "position held", "President of the United States" ]
[ "John F. Kennedy", "notable work", "We choose to go to the Moon" ]
Q11696__P39
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Richard Nixon, the 37th President of the United States, and someone known for the notable work "We choose to go to the Moon"?
Richard Nixon
We choose to go to the Moon
notable work
Query: What are different ways of connecting Richard Nixon, the 37th President of the United States, and someone known for the notable work "We choose to go to the Moon"? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Richard Nixon\",\n \"opponent in\",\n \"1960 United States presidential election\"\n ],\n [\n \"1960 United States presidential election\",\n \"winner\",\n \"John F. Kennedy\"\n ],\n [\n \"John F...
[ "Q412734", "P2175", "Q2840" ]
[ "Q409761", "P2175", "Q2840" ]
[ "Q409761", "P129", "Q21115816" ]
[ "peramivir", "medical condition treated", "influenza" ]
[ "amantadine", "medical condition treated", "influenza" ]
[ "amantadine", "physically interacts with", "Glutamate ionotropic receptor NMDA type subunit 2B" ]
Q2840__P2175
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting peramivir, a chemical compound, and a substance that physically interacts with the Glutamate ionotropic receptor NMDA type subunit 2B?
peramivir
Glutamate ionotropic receptor NMDA type subunit 2B
physically interacts with
Query: What are different ways of connecting peramivir, a chemical compound, and a substance that physically interacts with the Glutamate ionotropic receptor NMDA type subunit 2B? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tri...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"peramivir\",\n \"treats\",\n \"Influenza A virus\"\n ],\n [\n \"Influenza A virus\",\n \"physically interacts with\",\n \"Amantadine\"\n ],\n [\n \"Amantadine\",\n \"physically interacts wit...
[ "Q5534350", "P54", "Q1130849" ]
[ "Q21062024", "P54", "Q1130849" ]
[ "Q21062024", "P118", "Q18543" ]
[ "Geoff Twentyman", "member of sports team", "Liverpool F.C." ]
[ "Ryan Kent", "member of sports team", "Liverpool F.C." ]
[ "Ryan Kent", "league", "Major League Soccer" ]
Q1130849__P54
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Geoff Twentyman, a notable figure in football, and someone who plays in Major League Soccer?
Geoff Twentyman
Major League Soccer
league
Query: What are different ways of connecting Geoff Twentyman, a notable figure in football, and someone who plays in Major League Soccer? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a ...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Geoff Twentyman\", \"played for\", \"Liverpool F.C.\"],\n [\"Liverpool F.C.\", \"player\", \"Steven Gerrard\"],\n [\"Steven Gerrard\", \"played for\", \"LA Galaxy\"],\n [\"LA Galaxy\", \"league\", \"Major League Soccer\"]\n ],\n \"2\"...
[ "Q104183", "P166", "Q292044" ]
[ "Q94002", "P166", "Q292044" ]
[ "Q94002", "P22", "Q116468649" ]
[ "Lillian Gish", "award received", "AFI Life Achievement Award" ]
[ "Barbara Stanwyck", "award received", "AFI Life Achievement Award" ]
[ "Barbara Stanwyck", "father", "Byron Stevens" ]
Q292044__P166
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Lillian Gish, the silent film star, and someone who is the father of Byron Stevens?
Lillian Gish
Byron Stevens
father
Query: What are different ways of connecting Lillian Gish, the silent film star, and someone who is the father of Byron Stevens? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuou...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Lillian Gish\",\n \"partner\",\n \"George Jean Nathan\"\n ],\n [\n \"George Jean Nathan\",\n \"founder\",\n \"The American Mercury\"\n ],\n [\n \"The American Mercury\",\n \"co-founder\",\n ...
[ "Q7614325", "P54", "Q204862" ]
[ "Q4834053", "P54", "Q204862" ]
[ "Q4834053", "P1532", "Q30" ]
[ "Steve Wilson", "member of sports team", "Dallas Cowboys" ]
[ "B. J. Tucker", "member of sports team", "Dallas Cowboys" ]
[ "B. J. Tucker", "country for sport", "United States of America" ]
Q204862__P54
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Steve Wilson, a notable figure, and someone who represents the United States in a particular sport?
Steve Wilson
United States of America
country for sport
Query: What are different ways of connecting Steve Wilson, a notable figure, and someone who represents the United States in a particular sport? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Steve Wilson (offensive lineman)\",\n \"member of sports team\",\n \"Denver Broncos\"\n ],\n [\n \"Denver Broncos\",\n \"league\",\n \"National Football League\"\n ],\n [\n \"National Football Le...
README.md exists but content is empty.
Downloads last month
11