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 11 16 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.3k | query stringlengths 87 170 | entity_a stringlengths 4 53 | entity_b stringlengths 5 22 | rel_b stringlengths 5 28 | prompt stringlengths 3.55k 3.69k | index int64 120 139 | raw_responses stringlengths 759 4.85k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q273809",
"P39",
"Q14211"
] | [
"Q9545",
"P39",
"Q14211"
] | [
"Q9545",
"P69",
"Q609646"
] | [
"Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Tony Blair",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Tony Blair",
"educated at",
"St John's College"
] | Q14211__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 Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne, and someone who was educated at St John's College? | Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne | St John's College | educated at | Query: What are different ways of connecting Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne, and someone who was educated at St John's College?
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, tai... | 120 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne\",\n \"held office\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Tony Blair\",\n \"held office\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n ... |
[
"Q188293",
"P166",
"Q38104"
] | [
"Q78520",
"P166",
"Q38104"
] | [
"Q78520",
"P27",
"Q40"
] | [
"Frits Zernike",
"award received",
"Nobel Prize in Physics"
] | [
"Victor Francis Hess",
"award received",
"Nobel Prize in Physics"
] | [
"Victor Francis Hess",
"country of citizenship",
"Austria"
] | 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 Frits Zernike, the Dutch physicist, and someone who holds citizenship in Austria? | Frits Zernike | Austria | country of citizenship | Query: What are different ways of connecting Frits Zernike, the Dutch physicist, and someone who holds citizenship in Austria?
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 ... | 121 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Frits Zernike\", \"won award\", \"Nobel Prize in Physics\"],\n [\"Nobel Prize in Physics\", \"awarded to\", \"Erwin Schr\u00f6dinger\"],\n [\"Erwin Schr\u00f6dinger\", \"country of citizenship\", \"Austria\"]\n ],\n \"2\": [\n [\"Frits Zernike\", \"won awar... |
[
"Q190050",
"P58",
"Q3178961"
] | [
"Q190050",
"P58",
"Q268181"
] | [
"Q268181",
"P136",
"Q38072107"
] | [
"Fight Club",
"screenwriter",
"Jim Uhls"
] | [
"Fight Club",
"screenwriter",
"Chuck Palahniuk"
] | [
"Chuck Palahniuk",
"genre",
"fiction literature"
] | Q190050__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 Jim Uhls, a screenwriter known for his adaptations, and someone who is associated with the genre of fiction literature? | Jim Uhls | fiction literature | genre | Query: What are different ways of connecting Jim Uhls, a screenwriter known for his adaptations, and someone who is associated with the genre of fiction literature?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rel... | 122 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jim Uhls\", \"screenwriter of\", \"Fight Club (film)\"],\n [\"Fight Club (film)\", \"based on\", \"Fight Club (novel)\"],\n [\"Fight Club (novel)\", \"genre\", \"fiction literature\"]\n ],\n \"2\": [\n [\"Jim Uhls\", \"screenwriter of\", \"Jumper (film)\"],... |
[
"Q2744",
"P161",
"Q230779"
] | [
"Q2744",
"P161",
"Q312077"
] | [
"Q312077",
"P40",
"Q112121442"
] | [
"The X-Files",
"cast member",
"Annabeth Gish"
] | [
"The X-Files",
"cast member",
"Lance Henriksen"
] | [
"Lance Henriksen",
"child",
"Alcamy Henriksen"
] | Q2744__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 Annabeth Gish, the American actress, and someone who is the parent of Alcamy Henriksen? | Annabeth Gish | Alcamy Henriksen | child | Query: What are different ways of connecting Annabeth Gish, the American actress, and someone who is the parent of Alcamy Henriksen?
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 conti... | 123 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Annabeth Gish\", \"cast member\", \"The X-Files\"],\n [\"Lance Henriksen\", \"guest star\", \"The X-Files\"],\n [\"Lance Henriksen\", \"child\", \"Alcamy Henriksen\"]\n ],\n \"2\": [\n [\"Annabeth Gish\", \"cast member\", \"The X-Files\"],\n [\"The X-Fil... |
[
"Q23",
"P39",
"Q11696"
] | [
"Q12325",
"P39",
"Q11696"
] | [
"Q12325",
"P607",
"Q26013"
] | [
"George Washington",
"position held",
"President of the United States"
] | [
"James Buchanan",
"position held",
"President of the United States"
] | [
"James Buchanan",
"conflict",
"War of 1812"
] | 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 George Washington, the first President of the United States, and someone who was involved in the conflict known as the War of 1812? | George Washington | War of 1812 | conflict | Query: What are different ways of connecting George Washington, the first President of the United States, and someone who was involved in the conflict known as the War of 1812?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triple... | 124 | {"final_response": "<answer>\n{\n \"1\": [\n [\"George Washington\", \"succeeded by\", \"John Adams\"],\n [\"John Adams\", \"succeeded by\", \"Thomas Jefferson\"],\n [\"Thomas Jefferson\", \"succeeded by\", \"James Madison\"],\n [\"James Madison\", \"conflict\", \"War of 1812\"]\n ],\n \"2\": [\n [\"G... |
[
"Q107420",
"P166",
"Q38104"
] | [
"Q201452",
"P166",
"Q38104"
] | [
"Q201452",
"P106",
"Q752129"
] | [
"Sheldon Glashow",
"award received",
"Nobel Prize in Physics"
] | [
"Brian Schmidt",
"award received",
"Nobel Prize in Physics"
] | [
"Brian Schmidt",
"occupation",
"astrophysicist"
] | 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 Sheldon Glashow, the physicist, and someone who is an astrophysicist? | Sheldon Glashow | astrophysicist | occupation | Query: What are different ways of connecting Sheldon Glashow, the physicist, and someone who is an astrophysicist?
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 that b... | 125 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Sheldon Glashow\",\n \"educated at\",\n \"Bronx High School of Science\"\n ],\n [\n \"Neil deGrasse Tyson\",\n \"educated at\",\n \"Bronx High School of Science\"\n ],\n [\n \"Neil deGrasse Tyson\",\n \"occupation... |
[
"Q20817224",
"P2175",
"Q16501"
] | [
"Q327362",
"P2175",
"Q16501"
] | [
"Q327362",
"P2868",
"Q422106"
] | [
"thyroglobulin",
"medical condition treated",
"hypothyroidism"
] | [
"triiodothyronine",
"medical condition treated",
"hypothyroidism"
] | [
"triiodothyronine",
"subject has role",
"thyroid hormone"
] | Q16501__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 thyroglobulin, a protein involved in thyroid function, and a substance that plays a role as a thyroid hormone? | thyroglobulin | thyroid hormone | subject has role | Query: What are different ways of connecting thyroglobulin, a protein involved in thyroid function, and a substance that plays a role as a thyroid hormone?
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... | 126 | {"final_response": "<answer>\n{\n \"1\": [\n [\"thyroglobulin\", \"precursor of\", \"thyroxine\"],\n [\"thyroxine\", \"subject has role\", \"thyroid hormone\"]\n ],\n \"2\": [\n [\"thyroglobulin\", \"precursor of\", \"triiodothyronine\"],\n [\"triiodothyronine\", \"subject has role\", \"thyroid hormone\"... |
[
"Q114273718",
"P57",
"Q1050421"
] | [
"Q16948256",
"P57",
"Q1050421"
] | [
"Q1050421",
"P106",
"Q28389"
] | [
"Katerina Kitidi",
"director",
"Catastroika"
] | [
"Aris Chatzistefanou",
"director",
"Catastroika"
] | [
"Catastroika",
"occupation",
"screenwriter"
] | Q1050421__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 Katerina Kitidi, a notable figure in the arts, and someone who works as a screenwriter? | Katerina Kitidi | screenwriter | occupation | Query: What are different ways of connecting Katerina Kitidi, a notable figure in the arts, and someone who works as a screenwriter?
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 conti... | 127 | {"final_response": "<answer>\n{\n \"1\": [\n \"Katerina Kitidi\", \"occupation\", \"screenwriter\"\n ],\n \"2\": [\n \"Katerina Kitidi\", \"directed\", \"Debtocracy\",\n \"Aris Chatzistefanou\", \"directed\", \"Debtocracy\",\n \"Aris Chatzistefanou\", \"occupation\", \"screenwriter\"\n ],\n \"3\": [\n ... |
[
"Q7614131",
"P54",
"Q190618"
] | [
"Q4934212",
"P54",
"Q190618"
] | [
"Q4934212",
"P69",
"Q230492"
] | [
"Steve Thurlow",
"member of sports team",
"New York Giants"
] | [
"Bob Topp",
"member of sports team",
"New York Giants"
] | [
"Bob Topp",
"educated at",
"University of Michigan"
] | 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 Steve Thurlow and someone who was educated at the University of Michigan? | Steve Thurlow | University of Michigan | educated at | Query: What are different ways of connecting Steve Thurlow and someone who was educated at the University of Michigan?
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... | 128 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Steve Thurlow\", \"played for\", \"New York Giants\"],\n [\"New York Giants\", \"drafted\", \"Amani Toomer\"],\n [\"Amani Toomer\", \"educated at\", \"University of Michigan\"]\n ],\n \"2\": [\n [\"Steve Thurlow\", \"played for\", \"Washington Redskins\"],\... |
[
"Q1033108",
"P162",
"Q7612676"
] | [
"Q1033108",
"P162",
"Q461913"
] | [
"Q461913",
"P19",
"Q1345"
] | [
"Candyman",
"producer",
"Steve Golin"
] | [
"Candyman",
"producer",
"Alan Poul"
] | [
"Alan Poul",
"place of birth",
"Philadelphia"
] | Q1033108__P162 | 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 Golin, the renowned film producer, and someone who was born in Philadelphia? | Steve Golin | Philadelphia | place of birth | Query: What are different ways of connecting Steve Golin, the renowned film producer, and someone who was born in Philadelphia?
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... | 129 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Steve Golin\", \"producer of\", \"Sleepers\"],\n [\"Sleepers\", \"cast member\", \"Kevin Bacon\"],\n [\"Kevin Bacon\", \"place of birth\", \"Philadelphia\"]\n ],\n \"2\": [\n [\"Steve Golin\", \"producer of\", \"Case 39\"],\n [\"Case 39\", \"cas... |
[
"Q18041516",
"P2293",
"Q11081"
] | [
"Q18036616",
"P2293",
"Q11081"
] | [
"Q18036616",
"P684",
"Q18254158"
] | [
"ZCWPW1",
"genetic association",
"Alzheimer's disease"
] | [
"SLC4A1AP",
"genetic association",
"Alzheimer's disease"
] | [
"SLC4A1AP",
"ortholog",
"Slc4a1ap"
] | 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 ZCWPW1, a gene, and a substance that is an ortholog of SLC4A1AP? | ZCWPW1 | Slc4a1ap | ortholog | Query: What are different ways of connecting ZCWPW1, a gene, and a substance that is an ortholog of SLC4A1AP?
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 that begins... | 130 | {"final_response": "<answer>\n{\n \"1\": [\n [\"ZCWPW1\", \"found in taxon\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"expresses gene\", \"SLC4A1AP\"],\n [\"SLC4A1AP\", \"ortholog\", \"Slc4a1ap\"]\n ],\n \"2\": [\n [\"ZCWPW1\", \"interacts with\", \"UBC\"],\n [\"UBC\", \"interacts with\", \"SLC4A1AP\... |
[
"Q213425",
"P166",
"Q17144"
] | [
"Q553147",
"P166",
"Q17144"
] | [
"Q553147",
"P22",
"Q4980614"
] | [
"Danny Kaye",
"award received",
"Presidential Medal of Freedom"
] | [
"Gordon B. Hinckley",
"award received",
"Presidential Medal of Freedom"
] | [
"Gordon B. Hinckley",
"father",
"Bryant S. Hinckley"
] | Q17144__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 Danny Kaye, the beloved entertainer, and someone who is the father of Bryant S. Hinckley? | Danny Kaye | Bryant S. Hinckley | father | Query: What are different ways of connecting Danny Kaye, the beloved entertainer, and someone who is the father of Bryant S. Hinckley?
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 con... | 131 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Danny Kaye\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Gordon B. Hinckley\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Gordon B. Hinckley\", \"grandson of\", \"Ira Nathaniel Hinckley\"],\n [\"Ira Nathaniel Hinckley\", \"father\", \"Br... |
[
"Q18029171",
"P2293",
"Q11081"
] | [
"Q17855637",
"P2293",
"Q11081"
] | [
"Q17855637",
"P684",
"Q18248084"
] | [
"AFF1",
"genetic association",
"Alzheimer's disease"
] | [
"CAMK4",
"genetic association",
"Alzheimer's disease"
] | [
"CAMK4",
"ortholog",
"Camk4"
] | 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 AFF1, a gene associated with various biological functions, and a substance that is an ortholog of CAMK4? | AFF1 | Camk4 | ortholog | Query: What are different ways of connecting AFF1, a gene associated with various biological functions, and a substance that is an ortholog of CAMK4?
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... | 132 | {"final_response": "<answer>\n{\n \"1\": [\n [\"AFF1\", \"interacts with\", \"CREBBP\"],\n [\"CREBBP\", \"interacts with\", \"CAMK4\"],\n [\"CAMK4\", \"ortholog\", \"Camk4\"]\n ],\n \"2\": [\n [\"AFF1\", \"interacts with\", \"TP53\"],\n [\"TP53\", \"interacts with\", \"CAMK4\"],\n [\"CAMK4\", \"ort... |
[
"Q34597",
"P39",
"Q11696"
] | [
"Q35678",
"P39",
"Q11696"
] | [
"Q35678",
"P106",
"Q189290"
] | [
"James A. Garfield",
"position held",
"President of the United States"
] | [
"Benjamin Harrison",
"position held",
"President of the United States"
] | [
"Benjamin Harrison",
"occupation",
"military officer"
] | 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 James A. Garfield, the 20th President of the United States, and someone who has served as a military officer? | James A. Garfield | military officer | occupation | Query: What are different ways of connecting James A. Garfield, the 20th President of the United States, and someone who has served as a military officer?
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,... | 133 | {"final_response": "<answer>\n{\n \"1\": [\n [\"James A. Garfield\", \"occupation\", \"military officer\"]\n ],\n \"2\": [\n [\"James A. Garfield\", \"preceded by\", \"Rutherford B. Hayes\"],\n [\"Rutherford B. Hayes\", \"occupation\", \"military officer\"]\n ],\n \"3\": [\n [\"James A. Garfield\", \"s... |
[
"Q422654",
"P2175",
"Q12199"
] | [
"Q422618",
"P2175",
"Q12199"
] | [
"Q422618",
"P769",
"Q408535"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"ritonavir",
"medical condition treated",
"HIV/AIDS"
] | [
"ritonavir",
"significant drug interaction",
"quetiapine"
] | Q12199__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 saquinavir, a medication used to treat HIV, and a substance that has a significant drug interaction with quetiapine? | saquinavir | quetiapine | significant drug interaction | Query: What are different ways of connecting saquinavir, a medication used to treat HIV, and a substance that has a significant drug interaction with quetiapine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | 134 | {"final_response": "<answer>\n{\n \"1\": [\n [\"saquinavir\", \"co-administered with\", \"ritonavir\"],\n [\"ritonavir\", \"significant drug interaction\", \"quetiapine\"]\n ],\n \"2\": [\n [\"saquinavir\", \"interacts with\", \"ketoconazole\"],\n [\"ketoconazole\", \"significant drug interaction\", \"qu... |
[
"Q2875",
"P161",
"Q1577419"
] | [
"Q2875",
"P161",
"Q18811009"
] | [
"Q18811009",
"P19",
"Q729304"
] | [
"Gone with the Wind",
"cast member",
"Hans Moebus"
] | [
"Gone with the Wind",
"cast member",
"David Newell"
] | [
"David Newell",
"place of birth",
"Carthage"
] | Q2875__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 Hans Moebus and someone who was born in Carthage? | Hans Moebus | Carthage | place of birth | Query: What are different ways of connecting Hans Moebus and someone who was born in Carthage?
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 that begins with one entit... | 135 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Hans Moebus\",\n \"occupation\",\n \"Actor\"\n ],\n [\n \"Victor Mature\",\n \"occupation\",\n \"Actor\"\n ],\n [\n \"Victor Mature\",\n \"played role\",\n \"Hannibal\"\n ],\n [\n \"Hannibal\",\n ... |
[
"Q20817224",
"P2175",
"Q16501"
] | [
"Q773449",
"P2175",
"Q16501"
] | [
"Q773449",
"P3364",
"Q5268499"
] | [
"thyroglobulin",
"medical condition treated",
"hypothyroidism"
] | [
"L-thyroxine",
"medical condition treated",
"hypothyroidism"
] | [
"L-thyroxine",
"stereoisomer of",
"dextrothyroxine"
] | Q16501__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 thyroglobulin, a protein involved in thyroid hormone production, and a substance that is a stereoisomer of dextrothyroxine? | thyroglobulin | dextrothyroxine | stereoisomer of | Query: What are different ways of connecting thyroglobulin, a protein involved in thyroid hormone production, and a substance that is a stereoisomer of dextrothyroxine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | 136 | {"final_response": "<answer>\n{\n \"1\": [\n [\"thyroglobulin\", \"precursor of\", \"levothyroxine\"],\n [\"levothyroxine\", \"stereoisomer of\", \"dextrothyroxine\"]\n ],\n \"2\": [\n [\"thyroglobulin\", \"produced by\", \"thyroid gland\"],\n [\"thyroid gland\", \"secretes\", \"levothyroxine\"],\n [\... |
[
"Q424027",
"P2175",
"Q12192"
] | [
"Q412236",
"P2175",
"Q12192"
] | [
"Q412236",
"P769",
"Q191521"
] | [
"vancomycin",
"medical condition treated",
"pneumonia"
] | [
"voriconazole",
"medical condition treated",
"pneumonia"
] | [
"voriconazole",
"significant drug interaction",
"sildenafil"
] | Q12192__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 vancomycin, an antibiotic used to treat serious infections, and a substance that has a significant drug interaction with sildenafil? | vancomycin | sildenafil | significant drug interaction | Query: What are different ways of connecting vancomycin, an antibiotic used to treat serious infections, and a substance that has a significant drug interaction with sildenafil?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 137 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Vancomycin\",\n \"discovered by\",\n \"Eli Lilly and Company\"\n ],\n [\n \"Eli Lilly and Company\",\n \"discovered\",\n \"Erythromycin\"\n ],\n [\n \"Erythromycin\",\n \"significant drug interaction\",\n \"S... |
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:
120 - End Index:
140
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s120__e140__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("s120_e140_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 01:50:09 using the inference pipeline with the above configuration.
- Downloads last month
- 9