Triple

T26966726
Position Surface form Disambiguated ID Type / Status
Subject RP E679190 entity
Predicate derandomizationQuestion P161384 FINISHED
Object whether RP equals P is a central open problem in derandomization 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: whether RP equals P is a central open problem in derandomization | Statement: [RP, derandomizationQuestion, whether RP equals P is a central open problem in derandomization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derandomizationQuestion
Context triple: [RP, derandomizationQuestion, whether RP equals P is a central open problem in derandomization]
  • A. derandomizationQuestion chosen
    Indicates that there is an inquiry or issue concerning the process or possibility of removing or reducing randomness from a randomized procedure or algorithm.
  • B. derandomizationImplication
    Indicates that one result or assumption about derandomization leads logically to, or has consequences for, another result or property in computational complexity.
  • C. isRandomized
    Indicates that the selection, ordering, or assignment associated with something is determined by a random process rather than a fixed or predetermined rule.
  • D. hasRandomizedApproximation
    Indicates that there exists a randomized algorithm or method that can approximate the result of the referenced entity or process within some probabilistic accuracy or error bounds.
  • E. hasApproximationResistance
    Indicates that a method, model, or solution exhibits resistance to being closely approximated, such that no significantly better approximation can be efficiently achieved beyond a known bound.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f625411c14819086492062e86ba8d5 completed May 2, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 6:36 a.m.