Triple
T4278277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipenv |
E97091
|
entity |
| Predicate | followsStandard |
P1587
|
FINISHED |
| Object | PEP 518 |
E427618
|
NE FINISHED |
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 518 | Statement: [Pipenv, followsStandard, PEP 518]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP 518 Context triple: [Pipenv, followsStandard, PEP 518]
-
A.
PEP 517
PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
-
B.
PEP 508
PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
-
C.
PEP 695
PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
-
D.
PEP 518 (pyproject.toml build-system)
chosen
PEP 518 (pyproject.toml build-system) is a Python packaging standard that defines how projects declare their build requirements and configuration in a pyproject.toml file.
-
E.
PEP 622
PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350201ac88190b9d8980da5f0d03d |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4e7a7cc8190a2ffc15c236f80d5 |
completed | March 14, 2026, 10:44 p.m. |
Created at: March 12, 2026, 11:07 p.m.