Triple

T18051323
Position Surface form Disambiguated ID Type / Status
Subject importlib E431931 entity
Predicate providesClass P32439 FINISHED
Object importlib.machinery.ModuleSpec 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: importlib.machinery.ModuleSpec | Statement: [importlib, providesClass, importlib.machinery.ModuleSpec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: importlib.machinery.ModuleSpec
Context triple: [importlib, providesClass, importlib.machinery.ModuleSpec]
  • A. importlib chosen
    importlib is a Python standard library module that provides the implementation of the import mechanism, allowing programs to dynamically import and manage modules.
  • B. PEP 560
    PEP 560 is a Python Enhancement Proposal that optimizes and refines the implementation of typing and generic types in Python, improving performance and simplifying the internal mechanics of the typing module.
  • C. PEP 517
    PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
  • D. PEP 518
    PEP 518 is a Python Enhancement Proposal that defines how Python projects specify their build system requirements using a `pyproject.toml` configuration file.
  • E. 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.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0fe4f1881908fa8485cb3ccfa44 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:25 a.m.