Triple

T17521975
Position Surface form Disambiguated ID Type / Status
Subject packaging E426696 entity
Predicate supportsStandard P1587 FINISHED
Object PEP 508 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 508 | Statement: [packaging, supportsStandard, PEP 508]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 508
Context triple: [packaging, supportsStandard, PEP 508]
  • A. PEP 508 chosen
    PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
  • B. PEP 503
    PEP 503 is a Python Enhancement Proposal that defines the simple repository API used by package installers like pip to discover and download Python packages.
  • C. PEP 517
    PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
  • D. PEP 440
    PEP 440 is the Python Packaging Authority’s standard that defines a consistent versioning scheme for Python packages.
  • E. PEP 552
    PEP 552 is a Python Enhancement Proposal that introduced deterministic, hash-based .pyc files to improve reproducibility and caching behavior in Python.
  • 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_69e452d2f79881909556894728e255ab completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.