Triple

T17522295
Position Surface form Disambiguated ID Type / Status
Subject PEP 508 E426702 entity
Predicate relatedTo P37 FINISHED
Object PEP 518 NE NERFINISHED

How this triple was built (2 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 518 | Statement: [PEP 508, relatedTo, PEP 518]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 518
Context triple: [PEP 508, relatedTo, PEP 518]
  • A. PEP 518 chosen
    PEP 518 is a Python Enhancement Proposal that defines how Python projects specify their build system requirements using a `pyproject.toml` configuration file.
  • B. PEP 517
    PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
  • C. PEP 508
    PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
  • D. PEP 552
    PEP 552 is a Python Enhancement Proposal that introduced deterministic, hash-based .pyc files to improve reproducibility and caching behavior in Python.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 5:49 a.m.