Triple

T5964636
Position Surface form Disambiguated ID Type / Status
Subject React DevTools E132721 entity
Predicate developedBy P73 FINISHED
Object React team E24480 NE FINISHED

How this triple was built (2 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: React team | Statement: [React DevTools, developedBy, React team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React team
Context triple: [React DevTools, developedBy, React team]
  • A. React chosen
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • B. Vue.js core team
    The Vue.js core team is the group of primary developers and maintainers responsible for designing, implementing, and evolving the Vue.js framework and its official ecosystem tools.
  • C. Angular Team at Google
    The Angular Team at Google is the core group of engineers and designers responsible for developing, evolving, and supporting the Angular web application framework.
  • D. Microsoft TypeScript team
    The Microsoft TypeScript team is the group at Microsoft responsible for designing, developing, and maintaining the TypeScript programming language and its ecosystem.
  • E. React Native
    React Native is a JavaScript framework developed by Meta for building native mobile applications for iOS and Android using React components.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3f32e8481908a6075684287c412 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:03 p.m.