Triple

T2313318
Position Surface form Disambiguated ID Type / Status
Subject PEP 0 E51006 entity
Predicate subject P450 FINISHED
Object Python Enhancement Proposals E9267 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: Python Enhancement Proposals | Statement: [PEP 0, subject, Python Enhancement Proposals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python Enhancement Proposals
Context triple: [PEP 0, subject, Python Enhancement Proposals]
  • A. Python Enhancement Proposals chosen
    Python Enhancement Proposals (PEPs) are the formal design documents that propose, specify, and document new features, processes, and standards for the Python programming language.
  • B. PEP 13: Python Language Governance
    PEP 13: Python Language Governance is the Python Enhancement Proposal that defines the structure, responsibilities, and election process of the Python Steering Council, establishing the project's formal governance model.
  • C. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • D. Python Steering Council
    The Python Steering Council is the core governance body responsible for guiding the development and direction of the Python programming language.
  • E. Standards Track PEPs
    Standards Track PEPs are Python Enhancement Proposals that introduce or change core Python features, syntax, or standard library behavior and, once accepted, are intended to be implemented in the language.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61c1ef08190911d5f58c2e91189 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea87427f08190b8353f74c5231a32 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:49 p.m.