Triple
T31993034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenShift Machine Config Operator |
E816919
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Kubernetes operator |
C52999
|
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 operator Context triple: [OpenShift Machine Config Operator, instanceOf, Kubernetes operator]
-
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.
Kubernetes feature
A Kubernetes feature is a distinct capability or enhancement within the Kubernetes platform that extends or refines how containerized applications are deployed, managed, scaled, or observed in a cluster.
-
C.
Kubernetes-native security platform
A Kubernetes-native security platform is a solution built to run within and alongside Kubernetes that continuously secures containerized workloads, clusters, and cloud-native infrastructure through policy enforcement, runtime protection, and integrated visibility across the entire Kubernetes environment.
-
D.
Kubernetes add-on
chosen
A Kubernetes add-on is an optional, pluggable component that extends a Kubernetes cluster’s core functionality with additional capabilities such as networking, monitoring, logging, or security.
-
E.
Kubernetes ingress controller
A Kubernetes ingress controller is a component that watches Ingress resources and configures an underlying load balancer or proxy to route external HTTP/HTTPS traffic into services running inside a Kubernetes cluster.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:13 a.m.