Triple
T9838482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symbolic Model Checking |
E239161
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model checking technique |
C26935
|
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 checking technique Context triple: [Symbolic Model Checking, instanceOf, model checking technique]
-
A.
automata theory technique
An automata theory technique is a formal method that uses abstract computational models like finite automata, pushdown automata, and Turing machines to analyze, design, and reason about languages, algorithms, and computational processes.
-
B.
automated theorem proving technique
An automated theorem proving technique is a systematic, algorithmic method used by computer programs to derive logical conclusions and verify the validity of mathematical or logical statements without human intervention.
-
C.
simulation technique
A simulation technique is a systematic method for modeling and imitating the behavior of real or hypothetical systems over time to analyze their performance, predict outcomes, or support decision-making.
-
D.
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.
-
E.
counting technique
A counting technique is a systematic method used to determine the number of possible outcomes, arrangements, or selections in a given situation, often employing principles like addition, multiplication, permutations, and combinations.
- F. None of above. chosen
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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:33 p.m.