Triple
T29407284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GIRepository |
E745804
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | GObject Introspection component |
C23109
|
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: GObject Introspection component Context triple: [GIRepository, instanceOf, GObject Introspection component]
-
A.
GNOME component
A GNOME component is a modular software element within the GNOME desktop environment that provides specific functionality or services, such as panels, applets, libraries, or system tools, to create a cohesive user experience.
-
B.
integrated development environment component
An integrated development environment component is a modular tool or feature within an IDE that provides specific functionality—such as code editing, debugging, or project management—to support and streamline software development.
-
C.
variety of the Mono language
A variety of the Mono language is a distinct regional or social form of Mono characterized by systematic differences in pronunciation, vocabulary, and/or grammar while remaining mutually intelligible with other forms.
-
D.
software component model
chosen
A software component model is a conceptual framework that defines how modular, reusable software units are specified, composed, and interact within a system.
-
E.
LLVM component
An LLVM component is a modular part of the LLVM compiler infrastructure that provides specific functionality—such as code analysis, optimization, or target code generation—within the overall compilation pipeline.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 2:55 p.m.