Triple

T10825825
Position Surface form Disambiguated ID Type / Status
Subject PEP 1 – PEP Purpose and Guidelines E255495 entity
Predicate title P38 FINISHED
Object PEP 1 – PEP Purpose and Guidelines E255495 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: PEP 1 – PEP Purpose and Guidelines | Statement: [PEP 1 – PEP Purpose and Guidelines, title, PEP 1 – PEP Purpose and Guidelines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEP 1 – PEP Purpose and Guidelines
Context triple: [PEP 1 – PEP Purpose and Guidelines, title, PEP 1 – PEP Purpose and Guidelines]
  • A. PEP 1 – PEP Purpose and Guidelines chosen
    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.
  • B. 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.
  • C. PEP 13
    PEP 13 is the Python Enhancement Proposal that defines the process and rules for selecting and operating the Python Steering Council, the core governance body of the Python project.
  • D. 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.
  • E. PEP 0
    PEP 0 is the index document that lists and tracks the status of all Python Enhancement Proposals (PEPs) in the Python community.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d0389c819090a892693c4046ed completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:19 p.m.