Triple

T22330627
Position Surface form Disambiguated ID Type / Status
Subject PEP 333 E552012 entity
Predicate type P0 FINISHED
Object Standards Track PEP 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: Standards Track PEP | Statement: [PEP 333, type, Standards Track PEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standards Track PEP
Context triple: [PEP 333, type, Standards Track PEP]
  • A. Standards Track PEPs chosen
    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.
  • B. PEP 1 – PEP Purpose and Guidelines
    PEP 1 – PEP Purpose and Guidelines is the foundational Python Enhancement Proposal that defines the goals, structure, and workflow for all other PEPs in the Python development process.
  • C. PEP 273
    PEP 273 is a Python Enhancement Proposal that introduced support for importing modules from ZIP archives, enabling Python code to be distributed and executed directly from compressed files.
  • D. Standards Track
    Standards Track is the category of Python Enhancement Proposals that introduce or change core Python language features, standard libraries, or implementation details intended for widespread adoption.
  • E. PEP 644
    PEP 644 is the Python Enhancement Proposal that mandates OpenSSL 1.1.1 or newer as the minimum supported version for Python’s standard ssl module, aligning Python’s security features with modern TLS capabilities.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.