Triple

T21763286
Position Surface form Disambiguated ID Type / Status
Subject Max-3-SAT E537214 entity
Predicate hasReductionTo P3630 FINISHED
Object Max-SAT 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: Max-SAT | Statement: [Max-3-SAT, hasReductionTo, Max-SAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max-SAT
Context triple: [Max-3-SAT, hasReductionTo, Max-SAT]
  • 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. 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.
  • D. 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.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReductionTo
Context triple: [Max-3-SAT, hasReductionTo, Max-SAT]
  • A. reducesTo chosen
    Indicates that one expression, structure, or state can be transformed or simplified into another, typically more basic or canonical, form.
  • B. reduces
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • C. targetReduction
    Indicates a relationship where one entity is intended or expected to decrease, diminish, or lessen another entity by a specified amount or proportion.
  • D. hasRedistributionsBy
    Indicates that something is associated with one or more redistribution events, specifying which agent or process performed those redistributions.
  • E. reducedRepresentationOf
    Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a711dc8190a786c9849dc344e8 completed April 28, 2026, 4:03 a.m.
PD Predicate disambiguation batch_69e6be6299988190a34c98fa76d94700 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:51 p.m.