Triple
T22649865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vercel |
E559063
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Vercel platform |
—
|
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: Vercel platform | Statement: [Vercel, product, Vercel platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vercel platform Context triple: [Vercel, product, Vercel platform]
-
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.
Netlify
Netlify is a cloud platform for building, deploying, and hosting modern web applications and static sites with integrated CI/CD and serverless capabilities.
-
C.
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.
-
D.
Deno Deploy
Deno Deploy is a cloud platform for running JavaScript, TypeScript, and WebAssembly applications at the edge using the Deno runtime.
-
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 (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_69f1703b40b88190aec5cf2fa28bfcbf |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.