Triple

T20836582
Position Surface form Disambiguated ID Type / Status
Subject SAT problem E512973 entity
Predicate hasAlgorithmicApproach P25130 FINISHED
Object DPLL algorithm NE NERFINISHED

How this triple was built (3 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 algorithm | Statement: [SAT problem, hasAlgorithmicApproach, DPLL algorithm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPLL algorithm
Context triple: [SAT problem, hasAlgorithmicApproach, DPLL algorithm]
  • A. Davis–Putnam algorithm chosen
    The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
  • B. 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.
  • 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. Nelson–Oppen combination method
    The Nelson–Oppen combination method is a decision procedure framework that combines satisfiability solvers for different first-order theories to determine the satisfiability of formulas in their union.
  • E. Boolector
    Boolector is an efficient SMT solver specialized in bit-vectors, arrays, and uninterpreted functions, widely used in formal verification and model checking.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlgorithmicApproach
Context triple: [SAT problem, hasAlgorithmicApproach, DPLL algorithm]
  • A. hasChallengingApproach
    Indicates that the approach or method involved in reaching or engaging with something is difficult, complex, or demanding.
  • B. relatedAlgorithm chosen
    Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
  • C. hasApproachStructure
    Indicates that one entity possesses or includes an approach structure that provides access or a path leading to another entity.
  • D. algorithmicProperty
    Indicates that a subject possesses a specific characteristic, behavior, or quality defined in terms of an algorithm or computational procedure.
  • E. hasAlgorithmNamedAfter
    Indicates that an entity has an algorithm that is named after another entity.
  • F. None of above.

Provenance (3 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c326daec8190bd4caa41a4b38833 completed April 21, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:42 p.m.