Triple
T36625432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPLL(T) |
E904156
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | decision procedure framework |
C15969
|
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: decision procedure framework Context triple: [DPLL(T), instanceOf, decision procedure framework]
-
A.
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.
-
B.
theorem prover
A theorem prover is a software system or algorithm that automatically or semi-automatically checks the validity of logical statements by deriving conclusions from axioms and inference rules.
-
C.
decidable theory
A decidable theory is a formal theory for which there exists an effective procedure (algorithm) that, given any sentence in its language, can determine in finite time whether that sentence is a theorem of the theory.
-
D.
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.
-
E.
automated theorem proving technique
chosen
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.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.