Triple

T4277939
Position Surface form Disambiguated ID Type / Status
Subject Python Packaging Authority E97085 entity
Predicate develops P73 FINISHED
Object PEP 425 platform compatibility tags
PEP 425 platform compatibility tags are standardized identifiers used in Python packaging to specify which operating systems, architectures, and Python versions a built distribution (like a wheel) is compatible with.
E426699 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 425 platform compatibility tags | Statement: [Python Packaging Authority, develops, PEP 425 platform compatibility tags]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 425 platform compatibility tags
Context triple: [Python Packaging Authority, develops, PEP 425 platform compatibility tags]
  • A. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • B. PEP 695
    PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
  • C. PEP 634
    PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
  • D. PEP 635
    PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
  • E. PEP 636
    PEP 636 is a Python Enhancement Proposal that serves as a tutorial-style guide to the structural pattern matching feature introduced 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 425 platform compatibility tags
Triple: [Python Packaging Authority, develops, PEP 425 platform compatibility tags]
Generated description
PEP 425 platform compatibility tags are standardized identifiers used in Python packaging to specify which operating systems, architectures, and Python versions a built distribution (like a wheel) is compatible with.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PEP 425 platform compatibility tags
Target entity description: PEP 425 platform compatibility tags are standardized identifiers used in Python packaging to specify which operating systems, architectures, and Python versions a built distribution (like a wheel) is compatible with.
  • A. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • B. PEP 695
    PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
  • C. PEP 634
    PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
  • D. PEP 635
    PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
  • E. PEP 636
    PEP 636 is a Python Enhancement Proposal that serves as a tutorial-style guide to the structural pattern matching feature introduced 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b3b52c8190ae7c05448faf5558 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b95083088190b0c993fa2fbc954c completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5b9b8afcc8190822cfd560d064590 completed March 14, 2026, 7:40 p.m.
Created at: March 12, 2026, 11:07 p.m.