Triple
T27593479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marathon |
E699836
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | container orchestration framework |
C39325
|
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: container orchestration framework Context triple: [Marathon, instanceOf, container orchestration 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.
container runtime
A container runtime is a low-level software component that creates, runs, and manages containers by interfacing with the operating system’s kernel and container images.
-
C.
cluster management software
chosen
Cluster management software is a system that automates the deployment, coordination, monitoring, and scaling of multiple interconnected servers or nodes as a unified computing resource.
-
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.
cloud infrastructure management platform
A cloud infrastructure management platform is a centralized system that automates, orchestrates, monitors, and optimizes the provisioning, configuration, scaling, and governance of cloud resources across multiple environments and providers.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 2:06 p.m.