Triple

T7898233
Position Surface form Disambiguated ID Type / Status
Subject Mongoose E183384 entity
Predicate usedWith P4791 FINISHED
Object NestJS E34654 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: NestJS | Statement: [Mongoose, usedWith, NestJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NestJS
Context triple: [Mongoose, usedWith, 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 (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_69cc935fac3081908d70cf29b90cfcff completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:01 p.m.