Triple
T17675515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Job |
E440633
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | abstraction layer for job queues |
C23816
|
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: abstraction layer for job queues Context triple: [Active Job, instanceOf, abstraction layer for job queues]
-
A.
abstraction layer
chosen
An abstraction layer is a conceptual class that hides the complexity of underlying systems or components by providing a simplified, uniform interface for higher-level operations.
-
B.
managed message queuing service
A managed message queuing service is a cloud-based system that reliably receives, stores, and delivers messages between distributed application components, handling scalability, durability, and operational maintenance automatically.
-
C.
concurrency framework
A concurrency framework is a software infrastructure that provides abstractions, tools, and runtime support for managing and coordinating multiple tasks or threads executing simultaneously within an application.
-
D.
workload management system
A workload management system is a software solution that plans, allocates, monitors, and optimizes tasks and resources across teams or infrastructure to ensure efficient, balanced, and timely completion of work.
-
E.
workload management feature
A workload management feature is a system capability that helps plan, distribute, and monitor tasks and resources to balance capacity, avoid bottlenecks, and ensure timely completion of work.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
Created at: April 10, 2026, 10 a.m.