Triple

T11090175

Position	Surface form	Disambiguated ID	Type / Status
Subject	Satisfiability Modulo Theories	`E262229`	entity
Predicate	typicalArchitecture	`P607`	FINISHED
Object	DPLL(T) DPLL(T) is a framework that extends the classic DPLL SAT-solving algorithm with theory solvers to efficiently decide satisfiability modulo background theories such as arithmetic, arrays, or bit-vectors.	`E904156`	NE FINISHED

How this triple was built (4 steps)

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.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: DPLL(T) | Statement: [Satisfiability Modulo Theories, typicalArchitecture, DPLL(T)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: DPLL(T)
Context triple: [Satisfiability Modulo Theories, typicalArchitecture, DPLL(T)]

A. Satisfiability Modulo Theories (SMT)
Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
B. Z3: An Efficient SMT Solver
Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
C. CDCL SAT solver
A CDCL SAT solver is an advanced algorithm for solving Boolean satisfiability problems that extends the classic DPLL approach with conflict-driven clause learning and non-chronological backtracking to greatly improve efficiency on large, complex instances.
D. Davis–Putnam algorithm
The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
E. Vampire automated theorem prover
Vampire automated theorem prover is a high-performance first-order logic reasoning system widely used in automated deduction and formal verification research.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: DPLL(T)
Triple: [Satisfiability Modulo Theories, typicalArchitecture, DPLL(T)]

Generated description

DPLL(T) is a framework that extends the classic DPLL SAT-solving algorithm with theory solvers to efficiently decide satisfiability modulo background theories such as arithmetic, arrays, or bit-vectors.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: DPLL(T)
Target entity description: DPLL(T) is a framework that extends the classic DPLL SAT-solving algorithm with theory solvers to efficiently decide satisfiability modulo background theories such as arithmetic, arrays, or bit-vectors.

A. Satisfiability Modulo Theories (SMT)
Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
B. Z3: An Efficient SMT Solver
Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
C. CDCL SAT solver
A CDCL SAT solver is an advanced algorithm for solving Boolean satisfiability problems that extends the classic DPLL approach with conflict-driven clause learning and non-chronological backtracking to greatly improve efficiency on large, complex instances.
D. Davis–Putnam algorithm
The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
E. Vampire automated theorem prover
Vampire automated theorem prover is a high-performance first-order logic reasoning system widely used in automated deduction and formal verification research.
F. None of above. chosen

Provenance (5 batches)

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_69d6aa9a40d88190a373e2c7e48285db`	completed	April 8, 2026, 7:20 p.m.
NER	Named-entity recognition	`batch_69d799e96ca08190838c8a04d1eb2a16`	completed	April 9, 2026, 12:22 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69e3e7c586808190a576803b7406a49e`	completed	April 18, 2026, 8:21 p.m.
NEDg	Description generation	`batch_69e3f2cafc008190a3504999297f1e4e`	completed	April 18, 2026, 9:08 p.m.
NED2	Entity disambiguation (via description)	`batch_69e3f488819081908f9a4225279cde6b`	completed	April 18, 2026, 9:15 p.m.

Created at: April 8, 2026, 9:27 p.m.