Triple

T7666069
Position Surface form Disambiguated ID Type / Status
Subject NP-completeness E173625 entity
Predicate firstNPCompleteProblem P78664 FINISHED
Object Boolean satisfiability problem E512972 NE FINISHED

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: Boolean satisfiability problem | Statement: [NP-completeness, firstNPCompleteProblem, Boolean satisfiability problem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boolean satisfiability problem
Context triple: [NP-completeness, firstNPCompleteProblem, Boolean satisfiability problem]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Cook–Levin theorem chosen
    The Cook–Levin theorem is a foundational result in computational complexity theory that established the Boolean satisfiability problem (SAT) as the first NP-complete problem, launching the theory of NP-completeness.
  • E. P versus NP problem
    The P versus NP problem is a central unsolved question in theoretical computer science that asks whether every problem whose solution can be quickly verified by a computer can also be quickly solved by a computer.
  • 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: firstNPCompleteProblem
Context triple: [NP-completeness, firstNPCompleteProblem, Boolean satisfiability problem]
  • A. complexityClassRelation
    Indicates a relationship between two computational complexity classes, such as inclusion, equivalence, or separation, within the hierarchy of complexity theory.
  • B. numberOfMillenniumProblems
    Indicates the total count of Millennium Problems associated with a given subject or context.
  • C. firstSolvedBy
    Indicates that a particular problem, task, or challenge was initially solved or completed by a specific entity before any others.
  • D. announcedMillenniumProblems
    Indicates that an entity formally proclaimed or made public the set of Millennium Problems.
  • E. wasFirstProvedBy
    Indicates that a particular statement, theorem, or result was originally and for the first time demonstrated or established as true by a specified agent.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
PDg Predicate description generation batch_69c7063cfd78819095c6501fe8d57312 completed March 27, 2026, 10:35 p.m.
Created at: March 27, 2026, 4 p.m.