Triple

T8756447
Position Surface form Disambiguated ID Type / Status
Subject GraphQL E208081 entity
Predicate hasClientImplementation P19955 FINISHED
Object urql
urql is a lightweight, extensible GraphQL client for JavaScript and TypeScript applications, commonly used with React to handle queries, mutations, and caching.
 E754606 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: urql | Statement: [GraphQL, hasClientImplementation, urql]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: urql
Context triple: [GraphQL, hasClientImplementation, urql]
  • A. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • B. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • C. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • D. Uri
    Uri is a historic Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation.
  • E. URAA
    URAA is a United States federal law that implemented the results of the Uruguay Round of the General Agreement on Tariffs and Trade, establishing U.S. participation in the World Trade Organization and revising trade and intellectual property rules.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: urql
Triple: [GraphQL, hasClientImplementation, urql]
Generated description
urql is a lightweight, extensible GraphQL client for JavaScript and TypeScript applications, commonly used with React to handle queries, mutations, and caching.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: urql
Target entity description: urql is a lightweight, extensible GraphQL client for JavaScript and TypeScript applications, commonly used with React to handle queries, mutations, and caching.
  • A. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • B. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • C. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • D. Uri
    Uri is a historic Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation.
  • E. URAA
    URAA is a United States federal law that implemented the results of the Uruguay Round of the General Agreement on Tariffs and Trade, establishing U.S. participation in the World Trade Organization and revising trade and intellectual property rules.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee850b88190a0294bcbe4045aa3 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4338c0f88190a1e3f7ef164b6c6d completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:40 p.m.