Triple

T21494168
Position Surface form Disambiguated ID Type / Status
Subject Fermat primality test E530310 entity
Predicate repetitionEffect P144601 FINISHED
Object reduces probability of error 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: reduces probability of error | Statement: [Fermat primality test, repetitionEffect, reduces probability of error]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: repetitionEffect
Context triple: [Fermat primality test, repetitionEffect, reduces probability of error]
  • A. repetitionOf
    Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
  • B. usesRepetition
    Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
  • C. memorizationPractice
    Indicates engaging in activities or exercises specifically intended to commit information to memory or strengthen recall.
  • D. causesRepetitionOf
    Indicates that one entity brings about or is responsible for the recurrence or repeated occurrence of another entity or event.
  • E. repetitionRole
    Indicates that one entity serves a specific function or role within a repeated or recurring occurrence of another entity or event.
  • F. None of above. chosen

Provenance (4 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea567244819091863350fedae3ae completed April 23, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69e631f6e68081908f5ee4ce7413803e completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e6386c5a4481909c37f7de7e9fc025 completed April 20, 2026, 2:30 p.m.
Created at: April 16, 2026, 6:23 p.m.