Triple
T18050993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | typing (Python module) |
E431925
|
entity |
| Predicate | relatedPEP |
P37
|
FINISHED |
| Object | PEP 483 |
—
|
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 483 | Statement: [typing (Python module), relatedPEP, PEP 483]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP 483 Context triple: [typing (Python module), relatedPEP, PEP 483]
-
A.
PEP 483
chosen
PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
-
B.
PEP 406
PEP 406 is a Python Enhancement Proposal that explored a standardized virtual environment mechanism for Python, influencing later work on packaging and environment management.
-
C.
PEP 426
PEP 426 was a proposed Python Enhancement Proposal that aimed to standardize a new metadata format for Python packages but was ultimately superseded before full adoption.
-
D.
PEP 582
PEP 582 is a Python enhancement proposal that introduces a local `__pypackages__` directory for managing project-specific dependencies without using virtual environments.
-
E.
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.
- 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_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.