Triple
T4443662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSP (Communicating Sequential Processes) |
E96229
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | process calculus |
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: process calculus Context triple: [CSP (Communicating Sequential Processes), instanceOf, process calculus]
-
A.
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.
-
B.
distributed system
A distributed system is a collection of independent computers that appear to users as a single coherent system by coordinating and communicating over a network to achieve common goals.
-
C.
time-sharing system
A time-sharing system is an operating system that allows multiple users or processes to share computing resources concurrently by rapidly switching the CPU among them, giving the illusion of simultaneous execution.
-
D.
cellular automaton
A cellular automaton is a discrete computational model consisting of a grid of cells, each in one of a finite number of states, that evolve over time according to simple local rules based on the states of neighboring cells.
-
E.
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.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:32 p.m.