Triple

T17561441
Position Surface form Disambiguated ID Type / Status
Subject Cloud Datastore E427702 entity
Predicate hasClientLibrary P25616 FINISHED
Object Node.js 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: Node.js | Statement: [Cloud Datastore, hasClientLibrary, Node.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Node.js
Context triple: [Cloud Datastore, hasClientLibrary, Node.js]
  • A. Node.js chosen
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • B. Express.js
    Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
  • C. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • D. npm
    npm is the default package manager and registry for Node.js, widely used to share, install, and manage JavaScript libraries and tools.
  • E. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456274c888190ac80402e391674dd completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.