Triple

T10826135
Position Surface form Disambiguated ID Type / Status
Subject Provisional PEPs E255501 entity
Predicate relatedTo P37 FINISHED
Object Deferred PEPs
Deferred PEPs are Python Enhancement Proposals that have been postponed for future consideration, typically because they are not currently being actively pursued or prioritized.
E51003 NE FINISHED

How this triple was built (4 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: Deferred PEPs | Statement: [Provisional PEPs, relatedTo, Deferred PEPs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deferred PEPs
Context triple: [Provisional PEPs, relatedTo, Deferred PEPs]
  • A. PEPs
    PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
  • B. Provisional PEPs
    Provisional PEPs are a category of Python Enhancement Proposals that introduce features or changes on a trial basis, allowing them to be tested and refined before being fully accepted or rejected.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deferred PEPs
Triple: [Provisional PEPs, relatedTo, Deferred PEPs]
Generated description
Deferred PEPs are Python Enhancement Proposals that have been postponed for future consideration, typically because they are not currently being actively pursued or prioritized.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deferred PEPs
Target entity description: Deferred PEPs are Python Enhancement Proposals that have been postponed for future consideration, typically because they are not currently being actively pursued or prioritized.
  • A. PEPs chosen
    PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
  • B. Provisional PEPs
    Provisional PEPs are a category of Python Enhancement Proposals that introduce features or changes on a trial basis, allowing them to be tested and refined before being fully accepted or rejected.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.

Provenance (5 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_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8e70da448190b80068fea047a88c completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de94dd45548190a88b5ab991756d12 completed April 14, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:19 p.m.