Triple

T5245505
Position Surface form Disambiguated ID Type / Status
Subject Blum–Blum–Shub pseudorandom number generator E118448 entity
Predicate modulusType P62364 FINISHED
Object Blum integer 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: Blum integer | Statement: [Blum–Blum–Shub pseudorandom number generator, modulusType, Blum integer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modulusType
Context triple: [Blum–Blum–Shub pseudorandom number generator, modulusType, Blum integer]
  • A. modeType
    Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
  • B. hasPrimeModulus
    Indicates that the associated entity or structure is defined over, or characterized by, a modulus that is a prime number.
  • C. thirdCongruenceModulus
    Indicates that the third argument serves as the modulus with respect to which two other quantities are congruent.
  • D. secondCongruenceModulus
    Indicates that the second argument specifies the modulus with respect to which two values are congruent in a modular arithmetic relationship.
  • E. isModular
    Indicates that something is composed of distinct, interchangeable parts or units that can be independently created, modified, or replaced within a larger whole.
  • 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_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.
PDg Predicate description generation batch_69bd79e9d794819097bb628c603d14af completed March 20, 2026, 4:46 p.m.
Created at: March 20, 2026, 1:49 p.m.