Triple
T17569167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ClosedRange |
E427890
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Swift generic type |
C15475
|
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: Swift generic type Context triple: [ClosedRange, instanceOf, Swift generic type]
-
A.
component of Swift programming language
chosen
A component of the Swift programming language is a modular, reusable unit of code—such as a function, type, or framework—that encapsulates specific functionality to build and organize Swift applications.
-
B.
polymorphic type system
A polymorphic type system is a type system that allows functions, data structures, or expressions to be written generically so they can operate uniformly on values of multiple (often unspecified or parameterized) types.
-
C.
superset of Objective-C
A superset of Objective-C is a programming language or extension that includes all features of Objective-C while adding new syntax, capabilities, or abstractions that remain compatible with existing Objective-C code.
-
D.
TypeScript type definition repository
A TypeScript type definition repository is a centralized collection of type declaration files that provide static typing information for JavaScript libraries and APIs, enabling TypeScript projects to use them with full type safety and editor support.
-
E.
gradually typed programming language
A gradually typed programming language is one that allows both static and dynamic typing in the same codebase, enabling developers to optionally add or refine type annotations over time.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.