Triple

T21763290
Position Surface form Disambiguated ID Type / Status
Subject Max-3-SAT E537214 entity
Predicate isSpecialCaseOf P2372 FINISHED
Object Max-k-SAT
Max-k-SAT is the optimization version of the k-SAT problem, where the goal is to find a truth assignment that satisfies the maximum possible number of clauses in a Boolean formula with at most k literals per clause.
E537213 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: Max-k-SAT | Statement: [Max-3-SAT, isSpecialCaseOf, Max-k-SAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max-k-SAT
Context triple: [Max-3-SAT, isSpecialCaseOf, Max-k-SAT]
  • A. 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.
  • 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. k-SAT
    k-SAT is a canonical NP-complete decision problem in Boolean logic where one asks whether there exists a truth assignment satisfying a formula expressed as a conjunction of clauses, each containing at most k literals.
  • D. Max-CSP
    Max-CSP is a general optimization framework in theoretical computer science where the goal is to assign values to variables to satisfy as many given constraints as possible.
  • E. 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.
  • 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: Max-k-SAT
Triple: [Max-3-SAT, isSpecialCaseOf, Max-k-SAT]
Generated description
Max-k-SAT is the optimization version of the k-SAT problem, where the goal is to find a truth assignment that satisfies the maximum possible number of clauses in a Boolean formula with at most k literals per clause.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Max-k-SAT
Target entity description: Max-k-SAT is the optimization version of the k-SAT problem, where the goal is to find a truth assignment that satisfies the maximum possible number of clauses in a Boolean formula with at most k literals per clause.
  • A. Max-SAT chosen
    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.
  • 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. k-SAT
    k-SAT is a canonical NP-complete decision problem in Boolean logic where one asks whether there exists a truth assignment satisfying a formula expressed as a conjunction of clauses, each containing at most k literals.
  • D. Max-CSP
    Max-CSP is a general optimization framework in theoretical computer science where the goal is to assign values to variables to satisfy as many given constraints as possible.
  • E. 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.
  • F. None of above.

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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a711dc8190a786c9849dc344e8 completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bb9c8ec819090af90df21d8b3c8 completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4d366b348190b5d25e2183152296 completed May 17, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4de7d07c8190a0ccb1c229e7fc5d completed May 17, 2026, 11:23 p.m.
Created at: April 16, 2026, 6:51 p.m.