Triple
T27781167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo Events |
E699338
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud-native eventing framework |
C32002
|
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: cloud-native eventing framework Context triple: [Argo Events, instanceOf, cloud-native eventing framework]
-
A.
reactive programming framework
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.
Microservices framework
A microservices framework is a software platform that provides tools, libraries, and conventions to build, deploy, and manage applications as a collection of independently deployable, loosely coupled services.
-
C.
container-native infrastructure platform
A container-native infrastructure platform is an integrated environment that provisions, orchestrates, and manages compute, networking, and storage resources optimized specifically for running and scaling containerized applications.
-
D.
event-handling framework
chosen
An event-handling framework is a software architecture that manages the registration, dispatch, and processing of events, enabling decoupled components to react to user actions, system changes, or messages in an organized and scalable way.
-
E.
serverless computing framework
A serverless computing framework is a platform that automatically manages infrastructure, scaling, and execution of code in response to events, allowing developers to deploy functions without provisioning or maintaining servers.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 5:10 p.m.