Triple

T20836495
Position Surface form Disambiguated ID Type / Status
Subject Cook–Levin theorem E512972 entity
Predicate firstNPCompleteProblem P78664 FINISHED
Object Boolean satisfiability problem
The Boolean satisfiability problem (SAT) is the canonical NP-complete decision problem of determining whether there exists an assignment of truth values to variables that makes a given Boolean formula evaluate to true.
E1452089 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: Boolean satisfiability problem | Statement: [Cook–Levin theorem, firstNPCompleteProblem, Boolean satisfiability problem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boolean satisfiability problem
Context triple: [Cook–Levin theorem, firstNPCompleteProblem, Boolean satisfiability problem]
  • A. 3-SAT
    3-SAT is a classic Boolean satisfiability problem where each clause has exactly three literals and which serves as a fundamental NP-complete benchmark in computational complexity theory.
  • B. 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.
  • C. Max-3-SAT
    Max-3-SAT is an optimization variant of the Boolean satisfiability problem where the goal is to maximize the number of satisfied clauses, each containing exactly three literals, and it serves as a central problem in the study of approximation algorithms and hardness of approximation.
  • D. Max-SAT
    Max-SAT is the optimization variant of the Boolean satisfiability problem in which the goal is to find an assignment that satisfies the maximum possible number of clauses, making it a central problem in approximation algorithms and complexity theory.
  • E. Unique-SAT
    Unique-SAT is a specialized version of the Boolean satisfiability problem where instances are guaranteed to have at most one satisfying assignment, and it plays a central role in complexity theory due to its connections to randomness and NP-completeness.
  • 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: Boolean satisfiability problem
Triple: [Cook–Levin theorem, firstNPCompleteProblem, Boolean satisfiability problem]
Generated description
The Boolean satisfiability problem (SAT) is the canonical NP-complete decision problem of determining whether there exists an assignment of truth values to variables that makes a given Boolean formula evaluate to true.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boolean satisfiability problem
Target entity description: The Boolean satisfiability problem (SAT) is the canonical NP-complete decision problem of determining whether there exists an assignment of truth values to variables that makes a given Boolean formula evaluate to true.
  • A. 3-SAT
    3-SAT is a classic Boolean satisfiability problem where each clause has exactly three literals and which serves as a fundamental NP-complete benchmark in computational complexity theory.
  • B. 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.
  • C. Max-3-SAT
    Max-3-SAT is an optimization variant of the Boolean satisfiability problem where the goal is to maximize the number of satisfied clauses, each containing exactly three literals, and it serves as a central problem in the study of approximation algorithms and hardness of approximation.
  • D. Max-SAT
    Max-SAT is the optimization variant of the Boolean satisfiability problem in which the goal is to find an assignment that satisfies the maximum possible number of clauses, making it a central problem in approximation algorithms and complexity theory.
  • E. Unique-SAT
    Unique-SAT is a specialized version of the Boolean satisfiability problem where instances are guaranteed to have at most one satisfying assignment, and it plays a central role in complexity theory due to its connections to randomness and NP-completeness.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c326daec8190bd4caa41a4b38833 completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090084a1c481909a344ee40d846b10 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0900fd590c8190b42faa5c5191189a completed May 16, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0901950c1c8190befa72dc20236b9e completed May 16, 2026, 11:45 p.m.
Created at: April 16, 2026, 12:42 p.m.