Triple

T18051298
Position Surface form Disambiguated ID Type / Status
Subject contextlib E431930 entity
Predicate PEPReference P121984 FINISHED
Object PEP 343 NE NERFINISHED

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 343 | Statement: [contextlib, PEPReference, PEP 343]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 343
Context triple: [contextlib, PEPReference, PEP 343]
  • A. PEP 328
    PEP 328 is a Python Enhancement Proposal that introduced and standardized the syntax and semantics for absolute and relative imports in Python.
  • B. PEP 345
    PEP 345 is a Python Enhancement Proposal that defines the metadata format for Python software packages, including standardized fields used in package distribution.
  • C. PEP 302
    PEP 302 is a Python Enhancement Proposal that defines the import hook mechanism, enabling customization and extension of Python’s module import system.
  • D. PEP 333
    PEP 333 is the Python Enhancement Proposal that originally defined the Web Server Gateway Interface (WSGI), a standard for communication between Python web applications and web servers.
  • E. PEP 382
    PEP 382 is a Python Enhancement Proposal that originally specified a mechanism for namespace packages using explicit “.pkg” files, an approach later superseded by the implicit namespace package model of PEP 420.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PEP 343
Target entity description: PEP 343 is the Python Enhancement Proposal that introduced the "with" statement and the context manager protocol to simplify resource management in Python.
  • A. PEP 328
    PEP 328 is a Python Enhancement Proposal that introduced and standardized the syntax and semantics for absolute and relative imports in Python.
  • B. PEP 345
    PEP 345 is a Python Enhancement Proposal that defines the metadata format for Python software packages, including standardized fields used in package distribution.
  • C. PEP 302
    PEP 302 is a Python Enhancement Proposal that defines the import hook mechanism, enabling customization and extension of Python’s module import system.
  • D. PEP 333
    PEP 333 is the Python Enhancement Proposal that originally defined the Web Server Gateway Interface (WSGI), a standard for communication between Python web applications and web servers.
  • E. PEP 382
    PEP 382 is a Python Enhancement Proposal that originally specified a mechanism for namespace packages using explicit “.pkg” files, an approach later superseded by the implicit namespace package model of PEP 420.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: PEPReference
Context triple: [contextlib, PEPReference, PEP 343]
  • A. PEPNumber
    Indicates a relationship where an entity is assigned or associated with a specific PEP (Personal/Professional/Project/Policy, etc.) identification number.
  • B. referenceSectionFor chosen
    Indicates a relationship where one resource serves as the reference section or reference material specifically associated with another resource.
  • C. eraReference
    Indicates a temporal relationship where something is associated with, situated in, or characterized by a particular historical era or time period.
  • D. articleReference
    Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
  • E. coreTextReferenced
    Indicates that one text directly cites, mentions, or otherwise refers to another core text as a reference point.
  • F. None of above.

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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0fe4f1881908fa8485cb3ccfa44 completed April 19, 2026, 11:48 a.m.
PD Predicate disambiguation batch_69e3f90c652481908133a73106d78919 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:25 a.m.