Triple

T7898289
Position Surface form Disambiguated ID Type / Status
Subject Prisma E183385 entity
Predicate compatibleWith P203 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: [Prisma, compatibleWith, Next.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Next.js
Context triple: [Prisma, compatibleWith, 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. Vercel
    Vercel is a cloud platform for frontend developers, best known for hosting and developing modern web applications and for creating the popular React framework Next.js.
  • E. React
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a2ae5048190a6824d34b582c366 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.