Triple

T26966735
Position Surface form Disambiguated ID Type / Status
Subject RP E679190 entity
Predicate typicalBoundOnError P162835 FINISHED
Object error probability can be made at most 2^{-k} for any k by repetition 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: error probability can be made at most 2^{-k} for any k by repetition | Statement: [RP, typicalBoundOnError, error probability can be made at most 2^{-k} for any k by repetition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalBoundOnError
Context triple: [RP, typicalBoundOnError, error probability can be made at most 2^{-k} for any k by repetition]
  • A. typicalBoundForm
    Indicates that one entity is the standard or characteristic bound form in which another entity typically occurs or is represented.
  • B. typicalBoundary
    Indicates that one entity serves as the usual or characteristic boundary or limit for another entity.
  • C. givesBoundOn
    Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
  • D. errorProbabilityBound chosen
    Indicates that there is an upper limit or constraint on the probability that an error will occur in a given process or system.
  • E. dimensionBoundType
    Indicates the type or nature of the constraint that bounds a given dimension in a relationship.
  • 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_69ff370698ec81909bb1596d7d4112ba completed May 9, 2026, 1:30 p.m.
PD Predicate disambiguation batch_69ff3699b6288190b564839cb05f5cf6 completed May 9, 2026, 1:28 p.m.
Created at: April 27, 2026, 6:36 a.m.