Triple

T17522265
Position Surface form Disambiguated ID Type / Status
Subject PEP 508 E426702 entity
Predicate replaces P101 FINISHED
Object PEP 426
PEP 426 was a proposed Python Enhancement Proposal that aimed to standardize a new metadata format for Python packages but was ultimately superseded before full adoption.
E1281691 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: PEP 426 | Statement: [PEP 508, replaces, PEP 426]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 426
Context triple: [PEP 508, replaces, PEP 426]
  • A. PEP 425
    PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • B. PEP 427
    PEP 427 is the Python Enhancement Proposal that defines the Wheel binary package format used for distributing and installing Python projects.
  • C. PEP 626
    PEP 626 is a Python Enhancement Proposal that precisely defines how Python should map executed bytecode instructions to source code lines, improving debugging, coverage measurement, and tooling accuracy.
  • D. PEP 624
    PEP 624 is a Python Enhancement Proposal that specifies the removal of the Py_UNICODE encoder APIs from the CPython C API to streamline and modernize Unicode handling in Python.
  • E. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • 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: PEP 426
Triple: [PEP 508, replaces, PEP 426]
Generated description
PEP 426 was a proposed Python Enhancement Proposal that aimed to standardize a new metadata format for Python packages but was ultimately superseded before full adoption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PEP 426
Target entity description: PEP 426 was a proposed Python Enhancement Proposal that aimed to standardize a new metadata format for Python packages but was ultimately superseded before full adoption.
  • A. PEP 425
    PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • B. PEP 427
    PEP 427 is the Python Enhancement Proposal that defines the Wheel binary package format used for distributing and installing Python projects.
  • C. PEP 626
    PEP 626 is a Python Enhancement Proposal that precisely defines how Python should map executed bytecode instructions to source code lines, improving debugging, coverage measurement, and tooling accuracy.
  • D. PEP 624
    PEP 624 is a Python Enhancement Proposal that specifies the removal of the Py_UNICODE encoder APIs from the CPython C API to streamline and modernize Unicode handling in Python.
  • E. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02231275ac8190be970f1adcc08266 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a0223e6eee08190b3501e0641863825 completed May 11, 2026, 6:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0224397a4c8190b35d15c1b0461a9e completed May 11, 2026, 6:47 p.m.
Created at: April 10, 2026, 5:49 a.m.