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 9 15 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.31k | query stringlengths 100 170 | entity_a stringlengths 5 28 | entity_b stringlengths 6 41 | rel_b stringlengths 6 25 | prompt stringlengths 3.56k 3.69k | index int64 880 899 | raw_responses stringlengths 1.37k 4.15k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q10397511",
"P58",
"Q3018560"
] | [
"Q10397511",
"P58",
"Q12059269"
] | [
"Q12059269",
"P106",
"Q6934789"
] | [
"Whisper",
"screenwriter",
"David Ondříček"
] | [
"Whisper",
"screenwriter",
"Tomáš Mašín"
] | [
"Tomáš Mašín",
"occupation",
"multimedia artist"
] | Q10397511__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 David Ondříček, the Czech film director, and someone who is a multimedia artist? | David Ondříček | multimedia artist | occupation | Query: What are different ways of connecting David Ondříček, the Czech film director, and someone who is a multimedia artist?
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 c... | 880 | {"final_response": "```json\n{\n \"1\": [\n [\"David Ond\u0159\u00ed\u010dek\", \"partner\", \"Martha Issov\u00e1\"],\n [\"Martha Issov\u00e1\", \"acted in\", \"The Zookeeper's Wife\"],\n [\"The Zookeeper's Wife\", \"starred\", \"Jessica Chastain\"],\n [\"Jessica Chastain\", \"acted in\", \"The Martian\"],... |
[
"Q25188",
"P161",
"Q202589"
] | [
"Q25188",
"P161",
"Q3560613"
] | [
"Q3560613",
"P3373",
"Q2939588"
] | [
"Inception",
"cast member",
"Cillian Murphy"
] | [
"Inception",
"cast member",
"Virgile Bramly"
] | [
"Virgile Bramly",
"sibling",
"Carmen Bramly"
] | Q25188__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 Cillian Murphy, the Irish actor, and someone who is the sibling of Carmen Bramly? | Cillian Murphy | Carmen Bramly | sibling | Query: What are different ways of connecting Cillian Murphy, the Irish actor, and someone who is the sibling of Carmen Bramly?
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 ... | 881 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Cillian Murphy\", \"acted in\", \"Inception\"],\n [\"Inception\", \"features actor\", \"Virgile Bramly\"],\n [\"Virgile Bramly\", \"sibling\", \"Carmen Bramly\"]\n ],\n \"2\": [\n [\"Cillian Murphy\", \"worked with\", \"Christopher Nolan\"],\n [\"Christo... |
[
"Q248484",
"P39",
"Q192711"
] | [
"Q1047",
"P39",
"Q192711"
] | [
"Q1047",
"P551",
"Q162442"
] | [
"I. K. Gujral",
"position held",
"Prime Minister of India"
] | [
"Jawaharlal Nehru",
"position held",
"Prime Minister of India"
] | [
"Jawaharlal Nehru",
"residence",
"Prayagraj"
] | Q192711__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 I. K. Gujral, the former Prime Minister of India, and someone who has a residence in Prayagraj? | I. K. Gujral | Prayagraj | residence | Query: What are different ways of connecting I. K. Gujral, the former Prime Minister of India, and someone who has a residence in Prayagraj?
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... | 882 | {"final_response": "<answer>\n{\n \"1\": [\n [\"I. K. Gujral\", \"minister in cabinet of\", \"Indira Gandhi\"],\n [\"Indira Gandhi\", \"residence\", \"Prayagraj\"]\n ],\n \"2\": [\n [\"I. K. Gujral\", \"member of\", \"Janata Dal\"],\n [\"Janata Dal\", \"founded by\", \"V. P. Singh\"],\n [\"V. P. Singh... |
[
"Q19665745",
"P40",
"Q2153"
] | [
"Q16006056",
"P40",
"Q2153"
] | [
"Q16006056",
"P106",
"Q1569495"
] | [
"Prabhabati Bose",
"child",
"Subhas Chandra Bose"
] | [
"Janakinath Bose",
"child",
"Subhas Chandra Bose"
] | [
"Janakinath Bose",
"occupation",
"lecturer"
] | 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 Prabhabati Bose, a notable figure in Indian history, and someone who has worked as a lecturer? | Prabhabati Bose | lecturer | occupation | Query: What are different ways of connecting Prabhabati Bose, a notable figure in Indian history, and someone who has worked as a lecturer?
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 ... | 883 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Prabhabati Bose\",\n \"child\",\n \"Subhas Chandra Bose\"\n ],\n [\n \"Subhas Chandra Bose\",\n \"child\",\n \"Anita Bose Pfaff\"\n ],\n [\n \"Anita Bose Pfaff\",\n \"occupation\",\n \"lecturer\"\n ]\n ],... |
[
"Q10516679",
"P57",
"Q6244087"
] | [
"Q10516679",
"P57",
"Q390558"
] | [
"Q390558",
"P26",
"Q4981773"
] | [
"Half Way to Heaven",
"director",
"Stellan Windrow"
] | [
"Half Way to Heaven",
"director",
"Rune Carlsten"
] | [
"Rune Carlsten",
"spouse",
"Dora Söderberg"
] | Q10516679__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 "Half Way to Heaven," a notable work, and someone who is the spouse of Rune Carlsten? | Half Way to Heaven | Dora Söderberg | spouse | Query: What are different ways of connecting "Half Way to Heaven," a notable work, and someone who is the spouse of Rune Carlsten?
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 continu... | 884 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Half Way to Heaven\",\n \"starring\",\n \"Jean Arthur\"\n ],\n [\n \"Jean Arthur\",\n \"acted in\",\n \"Only Angels Have Wings\"\n ],\n [\n \"Only Angels Have Wings\",\n \"starring\",\n \"Cary Grant\"\n ],\... |
[
"Q746618",
"P463",
"Q28974"
] | [
"Q1295870",
"P463",
"Q28974"
] | [
"Q1295870",
"P166",
"Q41254"
] | [
"Philip Bailey",
"member of",
"Earth, Wind & Fire"
] | [
"Maurice White",
"member of",
"Earth, Wind & Fire"
] | [
"Maurice White",
"award received",
"Grammy Awards"
] | Q28974__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 Philip Bailey, the American singer, and someone who has received a Grammy Award? | Philip Bailey | Grammy Awards | award received | Query: What are different ways of connecting Philip Bailey, the American singer, and someone who has received a Grammy Award?
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 c... | 885 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Philip Bailey\",\n \"award received\",\n \"Grammy Awards\"\n ]\n ],\n \"2\": [\n [\n \"Philip Bailey\",\n \"member of\",\n \"Earth, Wind & Fire\"\n ],\n [\n \"Earth, Wind & Fire\",\n \"award received\",\n \... |
[
"Q47703",
"P161",
"Q3694232"
] | [
"Q47703",
"P161",
"Q3809461"
] | [
"Q3809461",
"P19",
"Q18419"
] | [
"The Godfather",
"cast member",
"Corrado Gaipa"
] | [
"The Godfather",
"cast member",
"Johnny Martino"
] | [
"Johnny Martino",
"place of birth",
"Brooklyn"
] | Q47703__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 Corrado Gaipa, an actor, and someone who was born in Brooklyn? | Corrado Gaipa | Brooklyn | place of birth | Query: What are different ways of connecting Corrado Gaipa, an actor, and someone who was born in Brooklyn?
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 w... | 886 | {"final_response": "```json\n{\n \"1\": [\n [\"Corrado Gaipa\", \"cast member of\", \"The Godfather\"],\n [\"Abe Vigoda\", \"cast member of\", \"The Godfather\"],\n [\"Abe Vigoda\", \"place of birth\", \"Brooklyn\"]\n ],\n \"2\": [\n [\"Corrado Gaipa\", \"cast member of\", \"The Godfather\"],\n [\"Len... |
[
"Q109116",
"P161",
"Q3126801"
] | [
"Q109116",
"P161",
"Q3430461"
] | [
"Q3430461",
"P119",
"Q1437214"
] | [
"The Great Dictator",
"cast member",
"Hank Mann"
] | [
"The Great Dictator",
"cast member",
"Richard Alexander"
] | [
"Richard Alexander",
"place of burial",
"Forest Lawn Memorial Park"
] | Q109116__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 Hank Mann, the American actor, and someone who is buried at Forest Lawn Memorial Park? | Hank Mann | Forest Lawn Memorial Park | place of burial | Query: What are different ways of connecting Hank Mann, the American actor, and someone who is buried at Forest Lawn Memorial Park?
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 contin... | 887 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Hank Mann\",\n \"acted in\",\n \"The Maltese Falcon\"\n ],\n [\n \"The Maltese Falcon\",\n \"starred\",\n \"Humphrey Bogart\"\n ],\n [\n \"Humphrey Bogart\",\n \"place of burial\",\n \"Forest Lawn Memorial Par... |
[
"Q724517",
"P463",
"Q23471"
] | [
"Q927469",
"P463",
"Q23471"
] | [
"Q927469",
"P106",
"Q183945"
] | [
"Mr Lordi",
"member of",
"Lordi"
] | [
"Sampsa Astala",
"member of",
"Lordi"
] | [
"Sampsa Astala",
"occupation",
"record producer"
] | Q23471__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 Mr. Lordi, the Finnish heavy metal musician, and someone who works as a record producer? | Mr Lordi | record producer | occupation | Query: What are different ways of connecting Mr. Lordi, the Finnish heavy metal musician, and someone who works as a record 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, tail) forming a cont... | 888 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Mr Lordi\", \"member of\", \"Lordi\"],\n [\"Lordi\", \"produced by\", \"Michael Wagener\"],\n [\"Michael Wagener\", \"occupation\", \"record producer\"]\n ],\n \"2\": [\n [\"Mr Lordi\", \"member of\", \"Lordi\"],\n [\"Lordi\", \"produced by\", \"Hiili Hi... |
[
"Q10338974",
"P162",
"Q458696"
] | [
"Q10338974",
"P162",
"Q3376853"
] | [
"Q3376853",
"P166",
"Q708731"
] | [
"Suely in the Sky",
"producer",
"Walter Salles"
] | [
"Suely in the Sky",
"producer",
"Peter Rommel"
] | [
"Peter Rommel",
"award received",
"German Film Award"
] | Q10338974__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 Walter Salles, the Brazilian filmmaker, and someone who has received the German Film Award? | Walter Salles | German Film Award | award received | Query: What are different ways of connecting Walter Salles, the Brazilian filmmaker, and someone who has received the German Film Award?
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 c... | 889 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Walter Salles\", \"director of\", \"Paris, je t'aime\"],\n [\"Paris, je t'aime\", \"director\", \"Tom Tykwer\"],\n [\"Tom Tykwer\", \"award received\", \"German Film Award\"]\n ],\n \"2\": [\n [\"Walter Salles\", \"director of\", \"To Each His Own ... |
[
"Q104898265",
"P58",
"Q67206355"
] | [
"Q104898265",
"P58",
"Q95163570"
] | [
"Q95163570",
"P106",
"Q36180"
] | [
"Abstinent",
"screenwriter",
"David Vigner"
] | [
"Abstinent",
"screenwriter",
"Jan Jílek"
] | [
"Jan Jílek",
"occupation",
"writer"
] | Q104898265__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 David Vigner, a notable figure in literature, and someone who is a writer by profession? | David Vigner | writer | occupation | Query: What are different ways of connecting David Vigner, a notable figure in literature, and someone who is a writer by profession?
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 cont... | 890 | {"final_response": "<answer>\n{\n \"1\": [\n [\"David Vigner\", \"occupation\", \"writer\"]\n ],\n \"2\": [\n [\"David Vigner\", \"country of citizenship\", \"France\"],\n [\"France\", \"has citizen\", \"Victor Hugo\"],\n [\"Victor Hugo\", \"occupation\", \"writer\"]\n ],\n \"3\": [\n [\"David Vigne... |
[
"Q1028330",
"P57",
"Q7439380"
] | [
"Q1028330",
"P57",
"Q6503795"
] | [
"Q6503795",
"P69",
"Q4614"
] | [
"City Without Baseball",
"director",
"Scud"
] | [
"City Without Baseball",
"director",
"Lawrence Ah Mon"
] | [
"Lawrence Ah Mon",
"educated at",
"University of Southern California"
] | Q1028330__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 "City Without Baseball," a film, and someone who was educated at the University of Southern California? | City Without Baseball | University of Southern California | educated at | Query: What are different ways of connecting "City Without Baseball," a film, and someone who was educated at the University of Southern California?
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)... | 891 | {"final_response": "<answer>\n{\n \"1\": [\n [\"City Without Baseball\", \"directed by\", \"Lawrence Lau\"],\n [\"Lawrence Lau\", \"educated at\", \"University of Southern California\"]\n ],\n \"2\": [\n [\"City Without Baseball\", \"depicts\", \"Baseball\"],\n [\"Baseball\", \"played by\", \"Mark McGwir... |
[
"Q392",
"P166",
"Q935843"
] | [
"Q2831",
"P166",
"Q935843"
] | [
"Q2831",
"P3373",
"Q349461"
] | [
"Bob Dylan",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Michael Jackson",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Michael Jackson",
"sibling",
"Randy Jackson"
] | Q935843__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 Bob Dylan, the iconic musician, and someone who is a sibling of Michael Jackson? | Bob Dylan | Randy Jackson | sibling | Query: What are different ways of connecting Bob Dylan, the iconic musician, and someone who is a sibling of Michael Jackson?
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 c... | 892 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Bob Dylan\", \"sang on\", \"We Are the World\"],\n [\"We Are the World\", \"co-written by\", \"Michael Jackson\"],\n [\"Michael Jackson\", \"sibling\", \"Randy Jackson\"]\n ],\n \"2\": [\n [\"Bob Dylan\", \"collaborated with\", \"Paul McCartney\"],\n [\"... |
[
"Q18032924",
"P2293",
"Q11081"
] | [
"Q18044426",
"P2293",
"Q11081"
] | [
"Q18044426",
"P5572",
"Q66569847"
] | [
"STK24",
"genetic association",
"Alzheimer's disease"
] | [
"VAT1L",
"genetic association",
"Alzheimer's disease"
] | [
"VAT1L",
"expressed in",
"cerebellar cortex"
] | 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 STK24, a protein involved in various cellular processes, and a substance that is expressed in the cerebellar cortex? | STK24 | cerebellar cortex | expressed in | Query: What are different ways of connecting STK24, a protein involved in various cellular processes, and a substance that is expressed in the cerebellar cortex?
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... | 893 | {"final_response": "<answer>\n{\n \"1\": [\n [\"STK24\", \"expressed in\", \"cerebellar cortex\"]\n ],\n \"2\": [\n [\"STK24\", \"interacts with\", \"PDCD10\"],\n [\"PDCD10\", \"expressed in\", \"cerebellar cortex\"]\n ],\n \"3\": [\n [\"STK24\", \"interacts with\", \"STRN3\"],\n [\"STRN3\", \"expre... |
[
"Q32450",
"P161",
"Q229940"
] | [
"Q32450",
"P161",
"Q237244"
] | [
"Q237244",
"P19",
"Q159260"
] | [
"Pretty Little Liars",
"cast member",
"Lucy Hale"
] | [
"Pretty Little Liars",
"cast member",
"Larisa Oleynik"
] | [
"Larisa Oleynik",
"place of birth",
"Santa Clara"
] | Q32450__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 Lucy Hale, the American actress and singer, and someone who was born in Santa Clara? | Lucy Hale | Santa Clara | place of birth | Query: What are different ways of connecting Lucy Hale, the American actress and singer, and someone who was born in Santa Clara?
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 continuo... | 894 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Lucy Hale\", \"co-starred with\", \"Janel Parrish\"],\n [\"Janel Parrish\", \"competed on\", \"Dancing with the Stars\"],\n [\"Misty May-Treanor\", \"competed on\", \"Dancing with the Stars\"],\n [\"Misty May-Treanor\", \"sports partner\", \"Kerri Walsh Jenni... |
[
"Q2329715",
"P2175",
"Q12206"
] | [
"Q19484",
"P2175",
"Q12206"
] | [
"Q19484",
"P129",
"Q21123047"
] | [
"chromium picolinate",
"medical condition treated",
"diabetes"
] | [
"metformin",
"medical condition treated",
"diabetes"
] | [
"metformin",
"physically interacts with",
"NADH:ubiquinone oxidoreductase subunit B2"
] | Q12206__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 chromium picolinate, a dietary supplement, and a substance that physically interacts with NADH:ubiquinone oxidoreductase subunit B2? | chromium picolinate | NADH:ubiquinone oxidoreductase subunit B2 | physically interacts with | Query: What are different ways of connecting chromium picolinate, a dietary supplement, and a substance that physically interacts with NADH:ubiquinone oxidoreductase subunit B2?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 895 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"chromium picolinate\",\n \"contains\",\n \"picolinic acid\"\n ],\n [\n \"picolinic acid\",\n \"isomer of\",\n \"nicotinic acid\"\n ],\n [\n \"nicotinic acid\",\n \"precursor to\",\n \"NADH\"\n ],\n [\n ... |
[
"Q24629031",
"P162",
"Q1001400"
] | [
"Q179497",
"P162",
"Q1001400"
] | [
"Q1001400",
"P27",
"Q30"
] | [
"Tommy Reid",
"producer",
"Ukraine on Fire"
] | [
"Oliver Stone",
"producer",
"Ukraine on Fire"
] | [
"Ukraine on Fire",
"country of citizenship",
"United States of America"
] | Q1001400__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 "Ukraine on Fire," a notable documentary, and someone who holds citizenship in the United States of America? | Ukraine on Fire | United States of America | country of citizenship | Query: What are different ways of connecting "Ukraine on Fire," a notable documentary, and someone who holds citizenship in the United States of America?
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, ... | 896 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ukraine on Fire\", \"executive producer\", \"Oliver Stone\"],\n [\"Oliver Stone\", \"country of citizenship\", \"United States of America\"]\n ],\n \"2\": [\n [\"Ukraine on Fire\", \"director\", \"Igor Lopatonok\"],\n [\"Igor Lopatonok\", \"country of citiz... |
[
"Q573157",
"P40",
"Q720"
] | [
"Q378676",
"P40",
"Q720"
] | [
"Q378676",
"P945",
"Q12557"
] | [
"Yesugei",
"child",
"Genghis Khan"
] | [
"Hoelun",
"child",
"Genghis Khan"
] | [
"Hoelun",
"allegiance",
"Mongol Empire"
] | Q720__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 Yesugei, a notable figure in Mongolian history, and someone who had allegiance to the Mongol Empire? | Yesugei | Mongol Empire | allegiance | Query: What are different ways of connecting Yesugei, a notable figure in Mongolian history, and someone who had allegiance to the Mongol Empire?
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) fo... | 897 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Yesugei\", \"father of\", \"Genghis Khan\"],\n [\"Genghis Khan\", \"allegiance\", \"Mongol Empire\"]\n ],\n \"2\": [\n [\"Yesugei\", \"father of\", \"Hasar\"],\n [\"Hasar\", \"allegiance\", \"Mongol Empire\"]\n ],\n \"3\": [\n [\"Yesugei\", \"father of... |
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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:
880 - End Index:
900
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s880__e900__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("s880_e900_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 12:47:47 using the inference pipeline with the above configuration.
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