Triple
T36575913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python structural pattern matching |
E902250
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | language 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: language feature Context triple: [Python structural pattern matching, instanceOf, language feature]
-
A.
query language feature
A query language feature is a specific capability or construct within a query language that enables users to express, filter, transform, or retrieve data according to defined criteria and operations.
-
B.
language projection
Language projection is the process by which individuals attribute their own linguistic preferences, assumptions, or interpretations onto others, often shaping communication and understanding based on their personal language framework.
-
C.
language nest
A language nest is an immersive early-childhood education setting where fluent speakers and young children interact exclusively in an endangered or minority language to support its revitalization and intergenerational transmission.
-
D.
feature
A feature is a distinct, measurable property or characteristic of a system, product, or dataset that contributes to its functionality, behavior, or descriptive representation.
-
E.
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.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.