Triple
T8610533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linux containers |
E203903
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | software container 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: software container technology Context triple: [Linux containers, instanceOf, software container 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.
software ecosystem
A software ecosystem is a dynamic network of interdependent software products, platforms, tools, developers, and users that co-evolve, interact, and create value through shared standards, integrations, and marketplaces.
-
E.
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.
- 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.