Triple
T14439760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarkus |
E358055
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud-native framework |
C23261
|
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: cloud-native framework Context triple: [Quarkus, instanceOf, cloud-native framework]
-
A.
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.
-
B.
cloud native project
chosen
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.
-
C.
Microservices framework
A microservices framework is a software platform that provides tools, libraries, and conventions to build, deploy, and manage applications as a collection of independently deployable, loosely coupled services.
-
D.
serverless computing framework
A serverless computing framework is a platform that automatically manages infrastructure, scaling, and execution of code in response to events, allowing developers to deploy functions without provisioning or maintaining servers.
-
E.
engineering framework
An engineering framework is a structured set of principles, methods, and tools that guides the systematic design, development, and evaluation of engineering solutions.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:18 a.m.