Triple

T17522292
Position Surface form Disambiguated ID Type / Status
Subject PEP 508 E426702 entity
Predicate markerSyntaxBasedOn P5327 FINISHED
Object PEP 345 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 345 | Statement: [PEP 508, markerSyntaxBasedOn, PEP 345]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 345
Context triple: [PEP 508, markerSyntaxBasedOn, PEP 345]
  • A. 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.
  • B. PEP 3107
    PEP 3107 is the Python Enhancement Proposal that introduced function annotations, providing a standardized syntax for attaching metadata such as type information to function parameters and return values.
  • C. PEP 590
    PEP 590 is the Python Enhancement Proposal that introduced the "vectorcall" protocol to speed up and standardize function calls in CPython.
  • D. PEP 483
    PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
  • E. PEP 526
    PEP 526 is a Python Enhancement Proposal that introduced a standard syntax for variable and attribute type annotations in Python.
  • 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 345
Target entity description: PEP 345 is a Python Enhancement Proposal that defines the metadata format for Python software packages, including standardized fields used in package distribution.
  • A. 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.
  • B. PEP 3107
    PEP 3107 is the Python Enhancement Proposal that introduced function annotations, providing a standardized syntax for attaching metadata such as type information to function parameters and return values.
  • C. PEP 590
    PEP 590 is the Python Enhancement Proposal that introduced the "vectorcall" protocol to speed up and standardize function calls in CPython.
  • D. PEP 483
    PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
  • E. PEP 526
    PEP 526 is a Python Enhancement Proposal that introduced a standard syntax for variable and attribute type annotations in Python.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: markerSyntaxBasedOn
Context triple: [PEP 508, markerSyntaxBasedOn, PEP 345]
  • A. syntaxBasedOn chosen
    Indicates that the syntactic structure or rules of one entity are derived from, influenced by, or constructed according to the syntax of another entity.
  • B. markType
    Indicates the specific category or kind of mark associated with or applied to an entity.
  • C. markingFeature
    Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
  • D. marksLocationOf
    Indicates that one entity serves as a marker, sign, or indicator specifying the location of another entity.
  • E. marksBoundaryIn
    Indicates that one entity serves as a boundary or delimiter within, or for a specific region or structure of, another entity.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69e3b4f8b9888190aa8a45e09acf4319 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.