Triple

T5922853
Position Surface form Disambiguated ID Type / Status
Subject CommonJS module system E131737 entity
Predicate usedIn P98 FINISHED
Object npm ecosystem E24478 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: npm ecosystem | Statement: [CommonJS module system, usedIn, npm ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: npm ecosystem
Context triple: [CommonJS module system, usedIn, npm ecosystem]
  • A. npm chosen
    npm is the default package manager and registry for Node.js, widely used to share, install, and manage JavaScript libraries and tools.
  • B. npm, Inc.
    npm, Inc. is the company behind the npm package manager and registry, a central infrastructure provider for JavaScript and Node.js developers.
  • C. GitHub Packages
    GitHub Packages is a software package hosting and management service integrated into GitHub, enabling developers to publish, share, and reuse packages alongside their source code and workflows.
  • D. Atom package registry
    Atom package registry is the online repository where developers publish and share extensions and packages that enhance the functionality of the Atom text editor.
  • E. Python packaging ecosystem
    The Python packaging ecosystem is the collection of tools, standards, and services that enable building, distributing, and installing Python software packages, including components like package formats, repositories, and upload utilities.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.