Triple

T1160575
Position Surface form Disambiguated ID Type / Status
Subject React E24480 entity
Predicate usedWith P4791 FINISHED
Object Webpack E97046 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: Webpack | Statement: [React, usedWith, Webpack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webpack
Context triple: [React, usedWith, Webpack]
  • A. Webpack chosen
    Webpack is a popular JavaScript module bundler that compiles and optimizes assets such as scripts, styles, and images for modern web applications.
  • B. npm
    npm is the default package manager and registry for Node.js, widely used to share, install, and manage JavaScript libraries and tools.
  • C. 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.
  • D. Grunt
    Grunt is a JavaScript-based task runner commonly used in web development to automate repetitive tasks such as building, testing, and deploying code.
  • E. PWA
    The Public Works Administration (PWA) was a New Deal U.S. government agency created in 1933 to stimulate economic recovery through large-scale public construction projects such as dams, bridges, schools, and hospitals.
  • 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_69ac5ebcd9788190ae319afc7d63c2e7 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.