Triple
T8610591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LXC |
E203904
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | containerization technology |
C23260
|
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: containerization technology Context triple: [LXC, instanceOf, containerization technology]
-
A.
container runtime
chosen
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.
-
B.
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.
-
C.
cloud native project
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.
virtualization component
A virtualization component is a software or hardware module that abstracts and manages underlying physical resources to create and run isolated virtual environments.
-
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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:25 p.m.