Triple
T17557372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python packaging ecosystem |
E427621
|
entity |
| Predicate | includesConcept |
P531
|
FINISHED |
| Object | PEP 517 |
—
|
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 517 | Statement: [Python packaging ecosystem, includesConcept, PEP 517]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP 517 Context triple: [Python packaging ecosystem, includesConcept, PEP 517]
-
A.
PEP 517
chosen
PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
-
B.
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.
-
C.
PEP 517 (via backends)
PEP 517 (via backends) defines a standardized, backend-agnostic interface for building Python packages, separating build logic from packaging tools like setuptools.
-
D.
PEP 508
PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
-
E.
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.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.