Triple
T36625431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPLL(T) |
E904156
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | SMT solving framework |
C59749
|
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: SMT solving framework Context triple: [DPLL(T), instanceOf, SMT solving framework]
-
A.
SMT-LIB family
The SMT-LIB family is a standardized collection of logical theories, syntactic constructs, and benchmark formats designed to specify and exchange Satisfiability Modulo Theories (SMT) problems across different solvers.
-
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.
framework in automated theorem proving
chosen
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.
-
D.
interactive theorem prover
An interactive theorem prover is a software system that assists users in the formalization and step-by-step verification of mathematical proofs or program properties through human-guided logical reasoning.
-
E.
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.
- 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.