Triple
T29407088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GObject Introspection |
E745801
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | language binding technology |
C24725
|
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 binding technology Context triple: [GObject Introspection, instanceOf, language binding technology]
-
A.
language binding
chosen
A language binding is a software layer that allows code written in one programming language to use libraries or APIs implemented in another language as if they were native.
-
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 network
A language network is a structured system of interconnected linguistic units, processes, or agents that collaboratively enable the representation, processing, and transmission of language.
-
D.
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.
-
E.
natural language understanding platform
A natural language understanding platform is a system that interprets, analyzes, and derives meaning from human language input to enable intelligent, context-aware interactions and automation.
- 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, 2:54 p.m.