Triple

T17522106
Position Surface form Disambiguated ID Type / Status
Subject installer (PyPA project) E426698 entity
Predicate documentationHostedAt P55145 FINISHED
Object Read the Docs 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: Read the Docs | Statement: [installer (PyPA project), documentationHostedAt, Read the Docs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Read the Docs
Context triple: [installer (PyPA project), documentationHostedAt, Read the Docs]
  • A. Read the Docs chosen
    Read the Docs is an open-source documentation hosting platform that automatically builds, version-manages, and serves technical docs for software projects.
  • B. MkDocs
    MkDocs is a static site generator geared toward building project documentation from Markdown files, typically configured with a simple YAML file and extensible through themes and plugins.
  • C. Sphinx documentation
    Sphinx documentation is the official and user-generated reference material that explains how to use the Sphinx tool to create, configure, and build structured software documentation.
  • D. Docutils
    Docutils is an open-source text processing system for converting reStructuredText documents into formats such as HTML, LaTeX, and XML.
  • E. Docus
    Docus is an alternative name for Dok, likely referring to the same entity, brand, or product under a different designation.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d2f79881909556894728e255ab completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.