Triple

T6033822
Position Surface form Disambiguated ID Type / Status
Subject SvelteKit E134368 entity
Predicate integratesWith P1075 FINISHED
Object Vercel E559063 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: Vercel | Statement: [SvelteKit, integratesWith, Vercel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vercel
Context triple: [SvelteKit, integratesWith, Vercel]
  • A. Vercel chosen
    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.
  • B. Cloudflare Pages
    Cloudflare Pages is a JAMstack-focused platform for building, deploying, and hosting static and frontend web applications directly from Git repositories on Cloudflare’s global edge network.
  • C. Deno Deploy
    Deno Deploy is a cloud platform for running JavaScript, TypeScript, and WebAssembly applications at the edge using the Deno runtime.
  • D. Heroku
    Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing underlying infrastructure.
  • E. 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.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b220608190b156be95632cf3b3 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cf60d00819084bc8405595f7989 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.