Triple

T22659255
Position Surface form Disambiguated ID Type / Status
Subject Express E559316 entity
Predicate influenced P9 FINISHED
Object NestJS 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: NestJS | Statement: [Express, influenced, NestJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NestJS
Context triple: [Express, influenced, NestJS]
  • A. NestJS chosen
    NestJS is a progressive Node.js framework for building efficient, scalable server-side applications using TypeScript and a modular, dependency-injection-driven architecture.
  • 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. FeathersJS
    FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
  • D. Angular
    Angular is a popular TypeScript-based open-source web application framework developed by Google for building dynamic, single-page client applications.
  • E. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • 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_69f1765dc9088190b022ac564a8b5c26 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.