Triple
T4325904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cython |
E96633
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Python extension language |
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: Python extension language Context triple: [Cython, instanceOf, Python extension language]
-
A.
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.
-
B.
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.
-
C.
extension language platform
An extension language platform is a system that embeds or hosts a scripting or domain-specific language to allow users to customize, automate, and extend the functionality of an application or environment.
-
D.
Python implementation
A Python implementation is a concrete realization of a program, algorithm, or system written in the Python programming language, following its syntax, semantics, and standard libraries to achieve specified functionality.
-
E.
programming language implementation
A programming language implementation is the concrete realization of a language’s specification, including its compiler or interpreter, runtime system, and associated tools that translate and execute programs written in that language.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:13 p.m.