Triple

T21494167
Position Surface form Disambiguated ID Type / Status
Subject Fermat primality test E530310 entity
Predicate canBeRepeatedWith P47229 FINISHED
Object multiple random bases 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: multiple random bases | Statement: [Fermat primality test, canBeRepeatedWith, multiple random bases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeRepeatedWith
Context triple: [Fermat primality test, canBeRepeatedWith, multiple random bases]
  • A. usesRepetition chosen
    Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
  • B. hasRepetition
    Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
  • C. repetitionOf
    Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
  • D. safeToRepeat
    Indicates that performing the same action or operation again under the current conditions is considered acceptable and will not cause harm or undesired effects.
  • E. allowsEdgeRepetition
    Indicates that the relationship or action permits the same edge to be used or traversed multiple times within a given structure or process.
  • 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_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.
Created at: April 16, 2026, 6:23 p.m.