Triple
T32258384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadence SMV |
E824081
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | symbolic model checker |
C26934
|
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: symbolic model checker Context triple: [Cadence SMV, instanceOf, symbolic model checker]
-
A.
model checking technique
A model checking technique is a formal verification method that systematically explores all possible states of a system model to automatically determine whether it satisfies specified correctness properties.
-
B.
SAT solver
A SAT solver is a computational tool that determines whether there exists an assignment of truth values to variables that makes a given Boolean formula evaluate to true.
-
C.
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.
-
D.
formal verification technique
chosen
A formal verification technique is a mathematically rigorous method used to prove or disprove the correctness of a system’s design or implementation with respect to a specified formal specification or property.
-
E.
framework in automated theorem proving
A framework in automated theorem proving is a structured environment of algorithms, data structures, and interfaces that coordinates the representation of logical formulas, the application of inference rules, and the management of proof search to automatically derive or verify theorems.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:41 a.m.