Triple

T5245504
Position Surface form Disambiguated ID Type / Status
Subject Blum–Blum–Shub pseudorandom number generator E118448 entity
Predicate usesModulus P19877 FINISHED
Object n = p · q 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: n = p · q | Statement: [Blum–Blum–Shub pseudorandom number generator, usesModulus, n = p · q]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesModulus
Context triple: [Blum–Blum–Shub pseudorandom number generator, usesModulus, n = p · q]
  • A. usesModulation
    Indicates that one entity applies or employs a particular modulation method or scheme in relation to another entity or process.
  • B. hasPrimeModulus
    Indicates that the associated entity or structure is defined over, or characterized by, a modulus that is a prime number.
  • C. usesModality
    Indicates that an action, communication, or process is carried out through or characterized by a particular modality (such as visual, auditory, tactile, or another mode of expression or operation).
  • D. thirdCongruenceModulus
    Indicates that the third argument serves as the modulus with respect to which two other quantities are congruent.
  • E. usesDivisor chosen
    Indicates that one entity employs another entity as a divisor in a division or modular arithmetic operation.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b515edc8190a9db198d4eb1c4f6 completed March 20, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69bd77c1397c8190a7fd844d7a396e54 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:49 p.m.