Triple
T18051328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | importlib |
E431931
|
entity |
| Predicate | providesClass |
P32439
|
FINISHED |
| Object | importlib.machinery.FrozenImporter |
—
|
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.FrozenImporter | Statement: [importlib, providesClass, importlib.machinery.FrozenImporter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: importlib.machinery.FrozenImporter Context triple: [importlib, providesClass, importlib.machinery.FrozenImporter]
-
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 302
PEP 302 is a Python Enhancement Proposal that defines the import hook mechanism, enabling customization and extension of Python’s module import system.
-
C.
PEP 395
PEP 395 is a Python Enhancement Proposal that defines guidelines and mechanisms for handling the `__name__` and `__main__` attributes to improve module naming, execution, and packaging consistency.
-
D.
PEP 425
PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
-
E.
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.
- 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.