Triple

T5894847
Position Surface form Disambiguated ID Type / Status
Subject Vuetify E131076 entity
Predicate integratesWith P1075 FINISHED
Object Nuxt.js E131074 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: Nuxt.js | Statement: [Vuetify, integratesWith, Nuxt.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuxt.js
Context triple: [Vuetify, integratesWith, Nuxt.js]
  • A. Nuxt.js chosen
    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.
  • 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. Vue CLI
    Vue CLI is the official command-line tool for Vue.js that streamlines project scaffolding, configuration, and development workflows for Vue applications.
  • D. 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.
  • E. SvelteKit
    SvelteKit is a full-stack application framework for building fast, modern web apps with the Svelte UI library, offering routing, server-side rendering, and deployment tooling.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.