Triple

T26992506
Position Surface form Disambiguated ID Type / Status
Subject 3-SAT E679892 entity
Predicate statusIfPEqualsNP P142791 FINISHED
Object would be 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: would be solvable in polynomial time | Statement: [3-SAT, statusIfPEqualsNP, would be solvable in polynomial time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusIfPEqualsNP
Context triple: [3-SAT, statusIfPEqualsNP, would be solvable in polynomial time]
  • A. isNPComplete
    Indicates that a decision problem is both in NP and NP-hard, meaning it can be verified in polynomial time and is at least as hard as any problem in NP.
  • B. yearNPCompletenessProved
    Indicates the year in which the NP-completeness of a given problem was formally proved.
  • C. isNPHard
    Indicates that solving the associated problem is at least as hard as the hardest problems in NP, so no known polynomial-time algorithm can solve all its instances unless P = NP.
  • D. relationToNPCompleteness chosen
    Indicates that the subject has a defined conceptual or formal connection to the notion of NP-completeness (e.g., being NP-complete, related to NP-complete problems, or used in reasoning about NP-completeness).
  • E. isWeaklyNPComplete
    Indicates that a problem belongs to the class of NP-complete problems whose hardness relies on large numerical parameters, and which may admit pseudo-polynomial-time algorithms.
  • 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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f75dc25fa08190b371faf36d9fb72c completed May 3, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f758586534819083e91172f4bf5098 completed May 3, 2026, 2:14 p.m.
Created at: April 27, 2026, 6:52 a.m.