Datasets:

connections-dev
/

connection_queries_jan12_natural_verbalized_1_step_None_0.7_4096_gpt-4_1-mini-2025-04-14

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 8 19	keep_triple bool 1 class	query_prompt stringlengths 3.23k 3.36k	query stringlengths 85 226	entity_a stringlengths 3 55	entity_b stringlengths 4 85	rel_b stringclasses 88 values	index int64 0 930	prompt stringlengths 4.42k 4.64k	path_prediction listlengths 1 1	prompt_for_path listlengths 1 1
[ "Q1352656", "P166", "Q935843" ]	[ "Q356715", "P166", "Q935843" ]	[ "Q356715", "P358", "Q100871850" ]	[ "Morton Gould", "award received", "Grammy Lifetime Achievement Award" ]	[ "Benny Carter", "award received", "Grammy Lifetime Achievement Award" ]	[ "Benny Carter", "discography", "Benny Carter discography" ]	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 Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?	Morton Gould	Benny Carter discography	discography	0	Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio...	[ "<reason>\nWe are asked to generate as many distinct connection paths as possible that connect \"Morton Gould\" to \"Benny Carter discography,\" following these constraints:\n\n- Each path is a chain of triples (head, relationship, tail).\n- Starts with \"Morton Gould\" and ends with a \"discography\" relation to \...	[ "Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ...
[ "Q57067", "P166", "Q38104" ]	[ "Q131729", "P166", "Q38104" ]	[ "Q131729", "P106", "Q593644" ]	[ "Max von Laue", "award received", "Nobel Prize in Physics" ]	[ "William Lawrence Bragg", "award received", "Nobel Prize in Physics" ]	[ "William Lawrence Bragg", "occupation", "chemist" ]	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 Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?	Max von Laue	chemist	occupation	1	Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t...	[ "<reason>\nTo find distinct valid connection paths from Max von Laue (a physicist known for X-ray diffraction) to a \"chemist\" occupation, the approach includes:\n\n1. Direct domain overlaps or interdisciplinary connections (Physics & Chemistry).\n2. Connections via known collaborators or students who were chemist...	[ "Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of fa...
[ "Q2085", "P161", "Q164328" ]	[ "Q2085", "P161", "Q174263" ]	[ "Q174263", "P19", "Q268873" ]	[ "Twin Peaks", "cast member", "David Koechner" ]	[ "Twin Peaks", "cast member", "Rodney Rowland" ]	[ "Rodney Rowland", "place of birth", "Newport Beach" ]	Q2085__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 David Koechner, the American actor and comedian, and someone who was born in Newport Beach?	David Koechner	Newport Beach	place of birth	2	Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? 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...	[ "<reason>\nStep 1: Confirm the entities and constraint.\n\n- Starting entity: \"David Koechner\" (American actor and comedian).\n- Ending condition: a triple with relationship 'place of birth' and tail 'Newport Beach'.\n- Newport Beach is a city in California.\n- We want multiple distinct paths connecting David Koe...	[ "Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: 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) form...
[ "Q18037479", "P2293", "Q11081" ]	[ "Q18053558", "P2293", "Q11081" ]	[ "Q18053558", "P2548", "Q22809711" ]	[ "CD2AP", "genetic association", "Alzheimer's disease" ]	[ "ATXN7L1", "genetic association", "Alzheimer's disease" ]	[ "ATXN7L1", "strand orientation", "reverse strand" ]	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 CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?	CD2AP	reverse strand	strand orientation	3	Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation? 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)...	[ "<reason>\nWe need to connect CD2AP, a protein involved in cellular processes, with a substance described as having a \"reverse strand\" orientation through factual triples forming valid connection paths.\n\nFirst, let's identify key known facts about CD2AP:\n\n- CD2AP (CD2-associated protein) is a human protein en...	[ "Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship...
[ "Q283572", "P463", "Q254138" ]	[ "Q316136", "P463", "Q254138" ]	[ "Q316136", "P19", "Q39709" ]	[ "Kun Nong", "member of", "Slipknot" ]	[ "Chris Fehn", "member of", "Slipknot" ]	[ "Chris Fehn", "place of birth", "Des Moines" ]	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 Kun Nong and someone who was born in Des Moines?	Kun Nong	Des Moines	place of birth	4	Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines? 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 entity...	[ "<reason>\nTo establish diverse, factual connection paths between \"Kun Nong\" and someone born in \"Des Moines,\" I start by clarifying who \"Kun Nong\" might refer to. \"Kun Nong\" is not a widely recognized public figure by itself, so I must consider possible canonical entities named \"Kun Nong\" or entities clo...	[ "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTask: 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...
[ "Q423327", "P2175", "Q12199" ]	[ "Q422654", "P2175", "Q12199" ]	[ "Q422654", "P769", "Q898407" ]	[ "enfuvirtide", "medical condition treated", "HIV/AIDS" ]	[ "saquinavir", "medical condition treated", "HIV/AIDS" ]	[ "saquinavir", "significant drug interaction", "venlafaxine" ]	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 enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine?	enfuvirtide	venlafaxine	significant drug interaction	5	Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine? 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...	[ "<reason>\nStep 1: Identify the direct entities: enfuvirtide (an HIV fusion inhibitor medication) and venlafaxine (an SNRI antidepressant).\n\nStep 2: Identify substances with significant drug interactions with venlafaxine. Notably, venlafaxine has significant interactions with:\n- Monoamine oxidase inhibitors (MAO...	[ "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea...
[ "Q77462", "P463", "Q32645" ]	[ "Q95556", "P463", "Q32645" ]	[ "Q95556", "P451", "Q551050" ]	[ "Bela B", "member of", "Die Ärzte" ]	[ "Hagen Liebing", "member of", "Die Ärzte" ]	[ "Hagen Liebing", "unmarried partner", "Anja Caspary" ]	Q32645__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 Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing?	Bela B	Anja Caspary	unmarried partner	6	Query: What are different ways of connecting Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing? 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...	[ "<reason>\nStep 1: Identify the starting and ending points:\n- Start: Bela B\n- End: Unmarried partner of Hagen Liebing, i.e., Anja Caspary (unmarried partner of Hagen Liebing).\n\nStep 2: Find a direct or indirect connection path.\n\nKnown facts and relationships for Bela B:\n- Bela B is a German musician, foundin...	[ "Query: What are different ways of connecting Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing?\n\nTask: 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 ...
[ "Q651253", "P40", "Q1268" ]	[ "Q9356382", "P40", "Q1268" ]	[ "Q9356382", "P22", "Q11716498" ]	[ "Nicolas Chopin", "child", "Frédéric Chopin" ]	[ "Tekla Justyna Chopin", "child", "Frédéric Chopin" ]	[ "Tekla Justyna Chopin", "father", "Jakub Krzyżanowski" ]	Q1268__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 Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?	Nicolas Chopin	Jakub Krzyżanowski	father	7	Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski? 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 be...	[ "<reason>\nStep 1: Understand entities involved:\n- Nicolas Chopin (1781–1844) was a French-Polish teacher, notably the father of Frédéric Chopin, the composer.\n- Jakub Krzyżanowski is a known historical figure; his father is to be identified in paths.\n\nStep 2: Goal:\n- Find connection paths starting from Nicola...	[ "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?\n\nTask: 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 ...
[ "Q23505", "P40", "Q207" ]	[ "Q190628", "P40", "Q207" ]	[ "Q190628", "P39", "Q7166256" ]	[ "George H. W. Bush", "child", "George W. Bush" ]	[ "Barbara Bush", "child", "George W. Bush" ]	[ "Barbara Bush", "position held", "First Lady of the United States" ]	Q207__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 George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States?	George H. W. Bush	First Lady of the United States	position held	8	Query: What are different ways of connecting George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples ...	[ "<reason>\nTo connect George H. W. Bush (41st President of the United States) to someone who held the position of First Lady of the United States, multiple pathways exist using different types of relationships:\n\n1. Most direct and well-known path:\n - George H. W. Bush is married to Barbara Bush.\n - Barb...	[ "Query: What are different ways of connecting George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t...
[ "Q18037778", "P2293", "Q131755" ]	[ "Q18046338", "P2293", "Q131755" ]	[ "Q18046338", "P5572", "Q64386" ]	[ "INTS7", "genetic association", "bipolar disorder" ]	[ "MCTP1", "genetic association", "bipolar disorder" ]	[ "MCTP1", "expressed in", "gallbladder" ]	Q131755__P2293	false	"Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED)	"What are different ways of connecting INTS7, a protein involved in various cellular processes, and (...TRUNCATED)	INTS7	gallbladder	expressed in	9	"Query: What are different ways of connecting INTS7, a protein involved in various cellular processe(...TRUNCATED)	["<reason>\nStep 1: Identify the start entity: INTS7 (Integrator complex subunit 7), a protein invol(...TRUNCATED)	["Query: What are different ways of connecting INTS7, a protein involved in various cellular process(...TRUNCATED)

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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: gpt-4.1-mini-2025-04-14
Server URL: Not specified
API Key: Not provided
Request Timeout: 30 seconds

Query Configuration

Query Type: natural
Query Column: query
Sampling Type: verbalized

Generation Parameters

Temperature: 0.7
Max Tokens: 4096
Number of Runs: 1
Chunk Size: Entire dataset
Effort Level: Not specified

Feature Flags

Step by Step Reasoning: True
Reasoning Enabled: False
No Curator: False
Index Filter: None (all samples)

Data Information

Input File: connections-dev/connection_queries_jan12
Number of Samples: 931
Output Filename: connection_queries_jan12__natural__verbalized__1__step__None__0.7__4096__gpt-4_1-mini-2025-04-14.jsonl

Dataset Structure

The dataset contains the following key columns:

query: The original query
entity_a: Starting entity
entity_b: Target entity
rel_b: Target relationship
path_prediction: Generated connection paths
prompt_for_path: Prompts used for path generation

Usage

You can load this dataset using:

from datasets import load_dataset

dataset = load_dataset("connections-dev/connection_queries_jan12_natural_verbalized_1_step_None_0.7_4096_gpt-4_1-mini-2025-04-14")

Generation Details

This dataset was generated on 2026-01-12 22:41:18 using the inference pipeline with the above configuration.

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