Triple

T5923058
Position Surface form Disambiguated ID Type / Status
Subject TSX E131741 entity
Predicate usedIn P98 FINISHED
Object Next.js E132716 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: Next.js | Statement: [TSX, usedIn, Next.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Next.js
Context triple: [TSX, usedIn, Next.js]
  • A. Next.js chosen
    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.
  • B. 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.
  • C. 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.
  • D. React
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • E. Vite
    Vite is a modern, lightning-fast frontend build tool and development server that leverages native ES modules and optimized bundling for frameworks like Vue and React.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.