Triple
T9566849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCS |
E230808
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model of concurrency |
C7185
|
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: model of concurrency Context triple: [CCS, instanceOf, model of concurrency]
-
A.
logic for concurrent systems
Logic for concurrent systems is a formal framework for specifying and reasoning about the behaviors, interactions, and correctness properties of systems in which multiple processes execute and communicate simultaneously.
-
B.
model of computation
chosen
A model of computation is an abstract mathematical framework that defines how algorithms are represented and executed, specifying the rules, operations, and resources available for performing computations.
-
C.
multitasking operating system
A multitasking operating system is software that manages computer hardware and resources to run multiple processes or applications seemingly simultaneously by rapidly switching the CPU among them and coordinating their execution.
-
D.
directive-based programming model
A directive-based programming model is a high-level parallel programming approach where developers annotate code with compiler-interpreted directives (pragmas) to express parallelism and data movement without explicitly managing low-level threading or synchronization details.
-
E.
model of irreversibility
A model of irreversibility is a conceptual framework that represents processes or systems whose evolution cannot be exactly reversed, typically due to entropy increase, information loss, or path-dependent dynamics.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.