Triple

T32258175
Position Surface form Disambiguated ID Type / Status
Subject LTL E824076 entity
Predicate hasDecisionProblem P132452 FINISHED
Object satisfiability LITERAL FINISHED

How this triple was built (2 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: satisfiability | Statement: [LTL, hasDecisionProblem, satisfiability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDecisionProblem
Context triple: [LTL, hasDecisionProblem, satisfiability]
  • A. hasDecisionProcedure
    Indicates that there exists a systematic, effective method for determining, for any given input, whether the predicate or problem in question holds or has a solution.
  • B. hasDecisionPoint
    Indicates that there is a specific moment or juncture at which a choice between alternative options or paths must be made.
  • C. decisionProblem chosen
    Indicates that the subject is a computational problem for which the task is to decide, with a yes/no answer, whether given inputs satisfy a specified condition.
  • D. hasDecisionForm
    Indicates that an entity is associated with, or represented by, a particular decision document or formal decision record.
  • E. hasDecisionMaker
    Indicates that one entity serves as the decision-making authority or agent for 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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe9b0276d48190b554fa22b043e6d8 completed May 9, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69fe999692b081909921e1148d66f0ef completed May 9, 2026, 2:19 a.m.
Created at: May 1, 2026, 12:41 a.m.