Triple
T28507076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeuVector |
E721388
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Kubernetes-native security platform |
C54169
|
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 security platform Context triple: [NeuVector, instanceOf, Kubernetes-native security platform]
-
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.
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.
-
D.
lightweight Kubernetes distribution
A lightweight Kubernetes distribution is a streamlined, resource-efficient variant of Kubernetes designed to provide core orchestration capabilities with minimal overhead, making it suitable for edge, IoT, and constrained environments.
-
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. chosen
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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 28, 2026, 3:10 a.m.