Triple
T7939796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knative |
E184361
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | event-driven computing framework |
C15473
|
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: event-driven computing framework Context triple: [Knative, instanceOf, event-driven computing framework]
-
A.
reactive programming framework
chosen
A reactive programming framework is a software toolkit that enables building applications by modeling data and events as asynchronous streams, automatically propagating changes through declarative dataflow relationships.
-
B.
cross-platform development framework
A cross-platform development framework is a software toolkit that enables developers to build applications that run on multiple operating systems or devices from a single shared codebase.
-
C.
object-oriented framework
An object-oriented framework is a reusable, extensible software structure that defines cooperating classes and interfaces to provide a common architecture for building applications in a specific domain.
-
D.
enterprise application framework
An enterprise application framework is a reusable, extensible software infrastructure that provides standardized components, patterns, and services to simplify the development, integration, and maintenance of large-scale business applications.
-
E.
GPU computing framework
A GPU computing framework is a software platform that enables developers to write, manage, and optimize parallel programs that execute on graphics processing units for high-performance computation.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:08 p.m.