Triple
T27780865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo Project |
E699332
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Kubernetes-native tooling suite |
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 tooling suite Context triple: [Argo Project, instanceOf, Kubernetes-native tooling suite]
-
A.
Kubernetes control plane component
A Kubernetes control plane component is a core service (such as the API server, scheduler, or controller manager) that collectively manages cluster state, scheduling, and orchestration of workloads.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
container-optimized operating system
A container-optimized operating system is a minimal, specialized OS designed primarily to run and manage containers efficiently, securely, and at scale.
- 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, 5:09 p.m.