Triple

T10763968
Position Surface form Disambiguated ID Type / Status
Subject Standards Track E253904 entity
Predicate documentedIn P309 FINISHED
Object Python PEP index
The Python PEP index is the central, organized listing of all Python Enhancement Proposals, serving as the primary reference for the language’s design, standards, and evolution.
 E884134 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: Python PEP index | Statement: [Standards Track, documentedIn, Python PEP index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Python PEP index
Context triple: [Standards Track, documentedIn, Python PEP index]
  • A. Python Package Index
    The Python Package Index (PyPI) is the central online repository where developers publish and download open-source Python software packages.
  • 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 503
    PEP 503 is a Python Enhancement Proposal that defines the simple repository API used by package installers like pip to discover and download Python packages.
  • D. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • E. PEP 508
    PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
  • 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: Python PEP index
Triple: [Standards Track, documentedIn, Python PEP index]
Generated description
The Python PEP index is the central, organized listing of all Python Enhancement Proposals, serving as the primary reference for the language’s design, standards, and evolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Python PEP index
Target entity description: The Python PEP index is the central, organized listing of all Python Enhancement Proposals, serving as the primary reference for the language’s design, standards, and evolution.
  • A. Python Package Index
    The Python Package Index (PyPI) is the central online repository where developers publish and download open-source Python software packages.
  • 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 503
    PEP 503 is a Python Enhancement Proposal that defines the simple repository API used by package installers like pip to discover and download Python packages.
  • D. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • E. PEP 508
    PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
  • F. None of above. chosen

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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a504948190943f0e27c0d891ed completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de235fe7748190ba004f889da389ff completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2e05fdb08190b880f9158b14118b completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:16 p.m.