Triple
T22650751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vue 3 ecosystem libraries |
E559083
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Vuetify 3 |
—
|
NE NERFINISHED |
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: Vuetify 3 | Statement: [Vue 3 ecosystem libraries, includes, Vuetify 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vuetify 3 Context triple: [Vue 3 ecosystem libraries, includes, Vuetify 3]
-
A.
Vuetify
chosen
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.
-
B.
Vue 3 ecosystem libraries
Vue 3 ecosystem libraries are a collection of tools, plugins, and frameworks built to extend and enhance Vue 3 applications, leveraging its modern features for state management, routing, UI components, and more.
-
C.
Nuxt UI
Nuxt UI is a component and UI library designed for building modern, responsive interfaces in Nuxt-based Vue applications.
-
D.
Vue CLI
Vue CLI is the official command-line tool for Vue.js that streamlines project scaffolding, configuration, and development workflows for Vue applications.
-
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 (2 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703c5538819089d9b5349f26ea6d |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.