Triple

T2555309
Position Surface form Disambiguated ID Type / Status
Subject SharePoint Framework E56717 entity
Predicate supportsFramework P9089 FINISHED
Object Vue.js E24481 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: Vue.js | Statement: [SharePoint Framework, supportsFramework, Vue.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vue.js
Context triple: [SharePoint Framework, supportsFramework, Vue.js]
  • A. Vue.js chosen
    Vue.js is a progressive JavaScript framework for building user interfaces and single-page applications with a focus on simplicity and reactive data binding.
  • B. Vue CLI
    Vue CLI is the official command-line tool for Vue.js that streamlines project scaffolding, configuration, and development workflows for Vue applications.
  • C. Nuxt.js
    Nuxt.js is a high-level framework built on Vue.js that simplifies the development of server-rendered, statically generated, and single-page web applications.
  • D. Vue Router
    Vue Router is the official routing library for Vue.js applications, enabling client-side navigation, nested routes, and dynamic route matching.
  • E. 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.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30eec988190810346bb8b6cb489 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.