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 stringlengths 10 15 | keep_triple bool 1
class | query_prompt stringlengths 3.26k 3.31k | query stringlengths 111 174 | entity_a stringlengths 5 22 | entity_b stringlengths 7 50 | rel_b stringlengths 6 36 | prompt stringlengths 3.57k 3.68k | index int64 840 859 | raw_responses stringlengths 92 5.05k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q92744",
"P166",
"Q185667"
] | [
"Q49823",
"P166",
"Q185667"
] | [
"Q49823",
"P106",
"Q81096"
] | [
"Kristen Nygaard",
"award received",
"Turing Award"
] | [
"Dana Scott",
"award received",
"Turing Award"
] | [
"Dana Scott",
"occupation",
"engineer"
] | Q185667__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 Kristen Nygaard, a prominent figure in computer science, and someone who is known for their work as an engineer? | Kristen Nygaard | engineer | occupation | Query: What are different ways of connecting Kristen Nygaard, a prominent figure in computer science, and someone who is known for their work as an engineer?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | 840 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Kristen Nygaard\", \"won award\", \"Turing Award\"],\n [\"Turing Award\", \"winner\", \"Douglas Engelbart\"],\n [\"Douglas Engelbart\", \"occupation\", \"engineer\"]\n ],\n \"2\": [\n [\"Kristen Nygaard\", \"co-invented\", \"Simula\"],\n [\"Simula\", \"i... |
[
"Q66764599",
"P57",
"Q101244968"
] | [
"Q3018788",
"P57",
"Q101244968"
] | [
"Q101244968",
"P106",
"Q11999333"
] | [
"Max Kerlow",
"director",
"The Mansion of Madness"
] | [
"David Silva",
"director",
"The Mansion of Madness"
] | [
"The Mansion of Madness",
"occupation",
"co-producer"
] | Q101244968__P57 | 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 Max Kerlow, a notable figure in the entertainment industry, and someone who has co-produced a project related to The Mansion of Madness? | Max Kerlow | co-producer | occupation | Query: What are different ways of connecting Max Kerlow, a notable figure in the entertainment industry, and someone who has co-produced a project related to The Mansion of Madness?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t... | 841 | {"final_response": "```json\n{\n \"1\": [\n [\"Max Kerlow\", \"cast member of\", \"The Mansion of Madness\"],\n [\"The Mansion of Madness\", \"cast member\", \"Claudio Brook\"],\n [\"Claudio Brook\", \"cast member of\", \"Licence to Kill\"],\n [\"Licence to Kill\", \"co-producer\", \"Barbara Broccoli\"],\n... |
[
"Q1573408",
"P463",
"Q254138"
] | [
"Q314583",
"P463",
"Q254138"
] | [
"Q314583",
"P106",
"Q798487"
] | [
"Anders Colsefni",
"member of",
"Slipknot"
] | [
"Paul Gray",
"member of",
"Slipknot"
] | [
"Paul Gray",
"occupation",
"backing vocalist"
] | Q254138__P463 | 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 Anders Colsefni, the musician, and someone who is known for their occupation as a backing vocalist? | Anders Colsefni | backing vocalist | occupation | Query: What are different ways of connecting Anders Colsefni, the musician, and someone who is known for their occupation as a backing vocalist?
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... | 842 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Anders Colsefni\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", \"Shawn Crahan\"],\n [\"Shawn Crahan\", \"occupation\", \"backing vocalist\"]\n ],\n \"2\": [\n [\"Anders Colsefni\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has m... |
[
"Q17626509",
"P54",
"Q190618"
] | [
"Q7228998",
"P54",
"Q190618"
] | [
"Q7228998",
"P106",
"Q5137571"
] | [
"Matt Brennan",
"member of sports team",
"New York Giants"
] | [
"Pop Foster",
"member of sports team",
"New York Giants"
] | [
"Pop Foster",
"occupation",
"basketball coach"
] | Q190618__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 Matt Brennan, and someone who is known for their occupation as a basketball coach? | Matt Brennan | basketball coach | occupation | Query: What are different ways of connecting Matt Brennan, and someone who is known for their occupation as a basketball coach?
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 continuous... | 843 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Matt Brennan\", \"attended\", \"Lafayette College\"],\n [\"Lafayette College\", \"alumnus\", \"Pete Carril\"],\n [\"Pete Carril\", \"occupation\", \"basketball coach\"]\n ],\n \"2\": [\n [\"Matt Brennan\", \"attended\", \"Lafayette College\"],\n [\"Lafay... |
[
"Q98699980",
"P40",
"Q2172"
] | [
"Q98699958",
"P40",
"Q2172"
] | [
"Q98699958",
"P25",
"Q98699978"
] | [
"Linda Gayle Mooneyham",
"child",
"Lance Armstrong"
] | [
"Eddie Charles Gunderson",
"child",
"Lance Armstrong"
] | [
"Eddie Charles Gunderson",
"mother",
"Ora Willene Meadows"
] | Q2172__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 Linda Gayle Mooneyham and someone who is the mother of Ora Willene Meadows? | Linda Gayle Mooneyham | Ora Willene Meadows | mother | Query: What are different ways of connecting Linda Gayle Mooneyham and someone who is the mother of Ora Willene Meadows?
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 continuous chain ... | 844 | {"final_response": "<answer>\n{}\n</answer>", "response_tokens": 9, "reasoning_tokens": 474} |
[
"Q190908",
"P161",
"Q505689"
] | [
"Q190908",
"P161",
"Q446493"
] | [
"Q446493",
"P106",
"Q10800557"
] | [
"Seven",
"cast member",
"Andrew Kevin Walker"
] | [
"Seven",
"cast member",
"Richard Roundtree"
] | [
"Richard Roundtree",
"occupation",
"film actor"
] | Q190908__P161 | 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 Andrew Kevin Walker, the screenwriter, and someone who is known for their work as a film actor? | Andrew Kevin Walker | film actor | occupation | Query: What are different ways of connecting Andrew Kevin Walker, the screenwriter, and someone who is known for their work as a film actor?
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... | 845 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Andrew Kevin Walker\", \"writer of\", \"Se7en\"],\n [\"Se7en\", \"cast member\", \"Brad Pitt\"],\n [\"Brad Pitt\", \"occupation\", \"film actor\"]\n ],\n \"2\": [\n [\"Andrew Kevin Walker\", \"writer of\", \"Se7en\"],\n [\"Se7en\", \"cast member\", \"Mor... |
[
"Q353316",
"P463",
"Q10708"
] | [
"Q204751",
"P463",
"Q10708"
] | [
"Q204751",
"P66",
"Q183"
] | [
"Jack Irons",
"member of",
"Red Hot Chili Peppers"
] | [
"Anthony Kiedis",
"member of",
"Red Hot Chili Peppers"
] | [
"Anthony Kiedis",
"ancestral home",
"Germany"
] | Q10708__P463 | 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 Jack Irons, the musician, and someone whose ancestral home is in Germany? | Jack Irons | Germany | ancestral home | Query: What are different ways of connecting Jack Irons, the musician, and someone whose ancestral home is in Germany?
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 continuous chain th... | 846 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jack Irons\", \"bandmate of\", \"Flea\"],\n [\"Flea\", \"acted in\", \"The Big Lebowski\"],\n [\"The Big Lebowski\", \"features actress\", \"Tara Reid\"],\n [\"Tara Reid\", \"appeared on\", \"The Apprentice\"],\n [\"The Apprentice\", \"hosted by\", \"Donal... |
[
"Q101440388",
"P58",
"Q60100"
] | [
"Q101440388",
"P58",
"Q110078157"
] | [
"Q110078157",
"P106",
"Q1053574"
] | [
"Moonfall",
"screenwriter",
"Roland Emmerich"
] | [
"Moonfall",
"screenwriter",
"Spenser Cohen"
] | [
"Spenser Cohen",
"occupation",
"executive producer"
] | Q101440388__P58 | 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 Roland Emmerich, the filmmaker known for his disaster movies, and someone who works as an executive producer? | Roland Emmerich | executive producer | occupation | Query: What are different ways of connecting Roland Emmerich, the filmmaker known for his disaster movies, and someone who works as an executive producer?
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,... | 847 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Roland Emmerich\",\n \"occupation\",\n \"executive producer\"\n ]\n ],\n \"2\": [\n [\n \"Roland Emmerich\",\n \"sibling\",\n \"Ute Emmerich\"\n ],\n [\n \"Ute Emmerich\",\n \"occupation\",\n \"executive pr... |
[
"Q153201",
"P166",
"Q38104"
] | [
"Q123022",
"P166",
"Q38104"
] | [
"Q123022",
"P185",
"Q5046925"
] | [
"John Robert Schrieffer",
"award received",
"Nobel Prize in Physics"
] | [
"Felix Bloch",
"award received",
"Nobel Prize in Physics"
] | [
"Felix Bloch",
"doctoral student",
"Carson D. Jeffries"
] | 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 Robert Schrieffer, the American physicist, and someone who has been a doctoral student of Felix Bloch? | John Robert Schrieffer | Carson D. Jeffries | doctoral student | Query: What are different ways of connecting John Robert Schrieffer, the American physicist, and someone who has been a doctoral student of Felix Bloch?
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, t... | 848 | {"final_response": "<answer>\n{\n \"1\": [\n [\"John Robert Schrieffer\", \"won award\", \"Nobel Prize in Physics\"],\n [\"Nobel Prize in Physics\", \"awarded to\", \"Felix Bloch\"],\n [\"Felix Bloch\", \"doctoral student\", \"Carson D. Jeffries\"]\n ],\n \"2\": [\n [\"John Robert Schrieffer\", \"preside... |
[
"Q447706",
"P54",
"Q8682"
] | [
"Q19388",
"P54",
"Q8682"
] | [
"Q19388",
"P413",
"Q193592"
] | [
"Héctor Rial",
"member of sports team",
"Real Madrid CF"
] | [
"Dani Parejo",
"member of sports team",
"Real Madrid CF"
] | [
"Dani Parejo",
"position played on team / speciality",
"midfielder"
] | Q8682__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 Héctor Rial, the Argentine footballer, and someone who plays as a midfielder on a football team? | Héctor Rial | midfielder | position played on team / speciality | Query: What are different ways of connecting Héctor Rial, the Argentine footballer, and someone who plays as a midfielder on a football team?
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) formin... | 849 | {"final_response": "```json\n{\n \"1\": [\n [\n \"H\u00e9ctor Rial\",\n \"played for\",\n \"Real Madrid\"\n ],\n [\n \"Real Madrid\",\n \"employed\",\n \"Luka Modri\u0107\"\n ],\n [\n \"Luka Modri\u0107\",\n \"position played on team / speciality\",\n \"midfi... |
[
"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... | 850 | {"final_response": "<answer>\n{\n \"1\": [\n [\"APOC1\", \"found in\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"contains gene\", \"MPZL1\"],\n [\"MPZL1\", \"encodes\", \"Myelin protein zero-like 1, isoform CRA_b\"]\n ],\n \"2\": [\n [\"APOC1\", \"expressed in\", \"Liver\"],\n [\"Liver\", \"expresses\... |
[
"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... | 851 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Raymond Davis Jr.\",\n \"award received\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Nobel Prize in Physics\",\n \"winner\",\n \"Makoto Kobayashi\"\n ],\n [\n \"Makoto Kobayashi\",\n \"employer\",\n \"Nagoya U... |
[
"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... | 852 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Janakinath Bose\", \"child\", \"Subhas Chandra Bose\"],\n [\"Subhas Chandra Bose\", \"residence\", \"Kolkata\"]\n ],\n \"2\": [\n [\"Janakinath Bose\", \"child\", \"Sarat Chandra Bose\"],\n [\"Sarat Chandra Bose\", \"residence\", \"Kolkata\"]\n ],\n \"3\"... |
[
"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 ... | 853 | {"final_response": "<answer>\n{\n \"1\": [\n [\"iopanoic acid\", \"subject has role\", \"antithyroid agents\"]\n ],\n \"2\": [\n [\"iopanoic acid\", \"treats\", \"Hyperthyroidism\"],\n [\"Propylthiouracil\", \"treats\", \"Hyperthyroidism\"],\n [\"Propylthiouracil\", \"subject has role\", \"antithyroid ag... |
[
"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) ... | 854 | {"final_response": "<answer>\n{\n \"1\": [\n [\"John Clauser\", \"awarded\", \"Nobel Prize in Physics\"],\n [\"Nobel Prize in Physics\", \"awarded to\", \"J. Hans D. Jensen\"],\n [\"J. Hans D. Jensen\", \"doctoral student\", \"Berthold Stech\"]\n ],\n \"2\": [\n [\"John Clauser\", \"educated at\", \"Colu... |
[
"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... | 855 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Richard Nixon\", \"defeated by\", \"John F. Kennedy\"],\n [\"John F. Kennedy\", \"notable work\", \"We choose to go to the Moon\"]\n ],\n \"2\": [\n [\"Richard Nixon\", \"candidate in\", \"1960 United States presidential election\"],\n [\"1960 United States... |
[
"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... | 856 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"peramivir\",\n \"treats\",\n \"Influenza\"\n ],\n [\n \"Amantadine\",\n \"treats\",\n \"Influenza\"\n ],\n [\n \"Amantadine\",\n \"physically interacts with\",\n \"Glutamate ionotropic receptor NMDA type subu... |
[
"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 ... | 857 | {"final_response": "```json\n{\n \"1\": [\n [\"Geoff Twentyman\", \"played for\", \"Liverpool F.C.\"],\n [\"Steven Gerrard\", \"played for\", \"Liverpool F.C.\"],\n [\"Steven Gerrard\", \"league\", \"Major League Soccer\"]\n ],\n \"2\": [\n [\"Geoff Twentyman\", \"played for\", \"Preston North End\"],\n ... |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
840 - End Index:
860
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s840__e860__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s840_e860_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 12:08:25 using the inference pipeline with the above configuration.
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