Triple
T27781165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo Events |
E699338
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Kubernetes-native event-driven workflow automation framework |
C23261
|
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: Kubernetes-native event-driven workflow automation framework Context triple: [Argo Events, instanceOf, Kubernetes-native event-driven workflow automation framework]
-
A.
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.
-
B.
cloud native project
chosen
A cloud native project is an application or system designed, built, and operated to fully leverage cloud computing models—such as containerization, microservices, dynamic orchestration, and managed services—for scalability, resilience, and rapid delivery.
-
C.
orchestration platform
An orchestration platform is a system that automates, coordinates, and manages complex workflows and services across multiple components, tools, and environments to ensure reliable and efficient operations.
-
D.
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.
-
E.
cloud-native application
A cloud-native application is a software system designed and built specifically to run in cloud environments, leveraging microservices, containers, dynamic orchestration, and continuous delivery to achieve scalability, resilience, and rapid iteration.
- 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.