Triple
T11215962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python generic function definitions |
E265440
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | proposed Python language feature |
C13241
|
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: proposed Python language feature Context triple: [Python generic function definitions, instanceOf, proposed Python language 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.
programming language extension
chosen
A programming language extension is an add-on or modification that enhances an existing language with new syntax, features, or capabilities without fundamentally changing its core semantics.
-
C.
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.
-
D.
programming language design
Programming language design is the process of defining the syntax, semantics, and features of a language to enable humans to express computations clearly, safely, and efficiently for execution by machines.
-
E.
HTML specification proposal
A HTML specification proposal is a formal document outlining suggested changes, additions, or clarifications to the HTML standard, including rationale, technical details, and potential impacts on existing implementations.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:30 p.m.