Triple

T5964679
Position Surface form Disambiguated ID Type / Status
Subject React DevTools E132721 entity
Predicate partOf P40 FINISHED
Object React ecosystem 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 ecosystem | Statement: [React DevTools, partOf, React ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React ecosystem
Context triple: [React DevTools, partOf, React ecosystem]
  • A. React chosen
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • B. Next.js
    Next.js is a popular React-based framework for building server-rendered and statically generated web applications with features like routing, API routes, and performance optimizations built in.
  • C. elm-reactor
    elm-reactor is a development tool for the Elm language that provides a local web server and live-reloading interface for quickly building and testing Elm applications.
  • D. React Native
    React Native is a JavaScript framework developed by Meta for building native mobile applications for iOS and Android using React components.
  • E. Vue.js
    Vue.js is a progressive JavaScript framework for building user interfaces and single-page applications with a focus on simplicity and reactive data binding.
  • 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.