Triple

T1160476
Position Surface form Disambiguated ID Type / Status
Subject npm E24478 entity
Predicate usedWith P4791 FINISHED
Object React 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 | Statement: [npm, usedWith, React]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React
Context triple: [npm, usedWith, React]
  • A. React chosen
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • B. 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.
  • C. Svelte
    Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
  • D. R Reactor
    R Reactor was one of the plutonium and tritium production nuclear reactors that operated at the U.S. Department of Energy’s Savannah River Site during the Cold War.
  • E. JS
    JS is the commonly used abbreviation for the United States military’s Joint Staff, which assists the Chairman of the Joint Chiefs of Staff in strategic planning and coordination among the armed services.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebbf80881909010e1e1e59212d4 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.