Triple

T400685
Position Surface form Disambiguated ID Type / Status
Subject Python Software Foundation E9272 entity
Predicate supportsProject P12986 FINISHED
Object PyPI E17665 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: PyPI | Statement: [Python Software Foundation, supportsProject, PyPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PyPI
Context triple: [Python Software Foundation, supportsProject, PyPI]
  • A. Python Package Index chosen
    The Python Package Index (PyPI) is the central online repository where developers publish and download open-source Python software packages.
  • B. 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.
  • C. npm
    npm is the default package manager and registry for Node.js, widely used to share, install, and manage JavaScript libraries and tools.
  • D. Python Software Foundation
    The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
  • E. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103f9f588190aabdf7f5d6422d09 completed March 1, 2026, 10:09 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.