Triple

T20836574
Position Surface form Disambiguated ID Type / Status
Subject SAT problem E512973 entity
Predicate complexityOf2SAT P28756 FINISHED
Object solvable in polynomial time 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: solvable in polynomial time | Statement: [SAT problem, complexityOf2SAT, solvable in polynomial time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: complexityOf2SAT
Context triple: [SAT problem, complexityOf2SAT, solvable in polynomial time]
  • A. hasReasoningComplexity
    Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
  • B. hasComplexity chosen
    Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
  • C. isUnconditionalPolynomialTime
    Indicates that an algorithm or computation runs in polynomial time without relying on any unproven assumptions or conjectures.
  • D. complexityClassRelation
    Indicates a relationship between two computational complexity classes, such as inclusion, equivalence, or separation, within the hierarchy of complexity theory.
  • E. firstNPCompleteProblem
    Indicates that the subject is the earliest or original problem proven to be NP-complete within a given context or theory.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c326daec8190bd4caa41a4b38833 completed April 21, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:42 p.m.