Triple

T22445060
Position Surface form Disambiguated ID Type / Status
Subject Bun E554842 entity
Predicate supports P516 FINISHED
Object CommonJS modules E131737 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: CommonJS modules | Statement: [Bun, supports, CommonJS modules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CommonJS modules
Context triple: [Bun, supports, CommonJS modules]
  • A. CommonJS module system chosen
    The CommonJS module system is a JavaScript module format that uses `require` and `module.exports` to structure and share code, most notably used in Node.js.
  • B. RequireJS
    RequireJS is a JavaScript file and module loader that implements the Asynchronous Module Definition (AMD) API to manage dependencies and improve the performance of web applications.
  • C. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • D. Should.js
    Should.js is a behavior-driven development (BDD) assertion library for Node.js and JavaScript that provides expressive, chainable assertions for testing.
  • E. Common Module Family
    The Common Module Family is Nissan-Renault’s shared vehicle architecture strategy that standardizes key modular components across multiple platforms to reduce costs and streamline production.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b46e8ac8190bfa8c611ffcba822 completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b124f0c1c81909c77fcb46e3af1e2 completed May 18, 2026, 1:21 p.m.
Created at: April 16, 2026, 8:47 p.m.