Triple

T5894553
Position Surface form Disambiguated ID Type / Status
Subject Pinia E131071 entity
Predicate supports P516 FINISHED
Object Vue 2 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 2 | Statement: [Pinia, supports, Vue 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vue 2
Context triple: [Pinia, supports, Vue 2]
  • 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. Vue Router
    Vue Router is the official routing library for Vue.js applications, enabling client-side navigation, nested routes, and dynamic route matching.
  • D. Vuetify
    Vuetify is a popular Material Design component framework that provides ready-made UI components and styling tools for building responsive web applications with Vue.js.
  • E. 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.
  • 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_69c036f220dc8190ad553d33de4e2ecd completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c000dfb481908cf37e5c143f4cae completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.