Triple

T17557016
Position Surface form Disambiguated ID Type / Status
Subject PEP 517 E427614 entity
Predicate relatedTo P37 FINISHED
Object PEP 621
PEP 621 is a Python Enhancement Proposal that standardizes how project metadata is declared in pyproject.toml, simplifying and unifying package configuration for Python packaging tools.
 E1278205 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 621 | Statement: [PEP 517, relatedTo, PEP 621]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEP 621
Context triple: [PEP 517, relatedTo, PEP 621]
  • 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 618
    PEP 618 is a Python Enhancement Proposal that introduced the `strict` parameter to the built-in `zip` function, enabling stricter handling of iterables with mismatched lengths.
  • C. PEP 657
    PEP 657 is a Python enhancement proposal that improves error reporting by adding fine-grained location information (such as per-expression line and column data) to tracebacks.
  • D. PEP 613
    PEP 613 is a Python Enhancement Proposal that introduces the `TypeAlias` annotation to clearly declare and distinguish type aliases in Python’s type hinting system.
  • E. PEP 612
    PEP 612 is a Python Enhancement Proposal that introduces support for parameter specification variables to improve typing of higher-order functions and decorators in Python’s type system.
  • 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 621
Triple: [PEP 517, relatedTo, PEP 621]
Generated description
PEP 621 is a Python Enhancement Proposal that standardizes how project metadata is declared in pyproject.toml, simplifying and unifying package configuration for Python packaging tools.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEP 621
Target entity description: PEP 621 is a Python Enhancement Proposal that standardizes how project metadata is declared in pyproject.toml, simplifying and unifying package configuration for Python packaging tools.
  • 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 618
    PEP 618 is a Python Enhancement Proposal that introduced the `strict` parameter to the built-in `zip` function, enabling stricter handling of iterables with mismatched lengths.
  • C. PEP 657
    PEP 657 is a Python enhancement proposal that improves error reporting by adding fine-grained location information (such as per-expression line and column data) to tracebacks.
  • D. PEP 613
    PEP 613 is a Python Enhancement Proposal that introduces the `TypeAlias` annotation to clearly declare and distinguish type aliases in Python’s type hinting system.
  • E. PEP 612
    PEP 612 is a Python Enhancement Proposal that introduces support for parameter specification variables to improve typing of higher-order functions and decorators in Python’s type system.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562357b48190bde6f49df0c983c2 completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e80dee4c8190a8df0734aac0f32f completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01f13419d88190a03b1fc93f12cec6 completed May 11, 2026, 3:09 p.m.
NED2 Entity disambiguation (via description) batch_6a01f1a4cebc8190bf2af495e37aa1a6 completed May 11, 2026, 3:11 p.m.
Created at: April 10, 2026, 5:50 a.m.