Triple
T36872246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ParamSpec |
E911253
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | PEP 612 feature |
C28518
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: PEP 612 feature Context triple: [ParamSpec, instanceOf, PEP 612 feature]
-
A.
Python Enhancement Proposal
A Python Enhancement Proposal (PEP) is a design document that provides information to the Python community or describes a new feature for Python, outlining its rationale, technical specification, and implementation details.
-
B.
Python language feature
chosen
A Python language feature is a built-in construct, syntax element, or capability of the Python programming language that enables developers to express logic, manage data, or control program behavior in a clear and efficient way.
-
C.
PEP type
A PEP type is a classification of Python Enhancement Proposals that groups them by their purpose—such as standards track, informational, or process—defining the nature and intended impact of the proposal on the Python ecosystem.
-
D.
LLVM feature
An LLVM feature is a specific capability or extension within the LLVM compiler infrastructure that provides additional functionality for code analysis, optimization, transformation, or target-specific code generation.
-
E.
python
Python is a high-level, interpreted programming language known for its readability, extensive standard library, and wide use in web development, data science, automation, and more.
- F. None of above.
Provenance (1 batch)
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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.