Triple

T32707083
Position Surface form Disambiguated ID Type / Status
Subject Rabin cryptosystem E836301 entity
Predicate requiresForUniqueness P199021 FINISHED
Object redundancy in plaintext 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: redundancy in plaintext | Statement: [Rabin cryptosystem, requiresForUniqueness, redundancy in plaintext]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresForUniqueness
Context triple: [Rabin cryptosystem, requiresForUniqueness, redundancy in plaintext]
  • A. hasUniqueness
    Indicates that something possesses a distinctive or one-of-a-kind quality that sets it apart from others.
  • B. uniquenessCondition
    Indicates that a specified element, value, or combination of attributes must be unique within a given set, context, or domain, with no duplicates allowed.
  • C. typeOfUniqueness
    Indicates that one entity’s uniqueness is characterized, classified, or constrained by the specific kind or mode of uniqueness associated with another entity.
  • D. requiresNonceUniqueness
    Indicates that the action or process demands each nonce value be unique, preventing reuse across operations or transactions.
  • E. requiresForConsistency
    Indicates that one element must be present or satisfied for another element to remain logically or functionally consistent.
  • 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_69f3493446148190819541f3ffe79975 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff1ba8694481909ceb36f26ca85612 completed May 9, 2026, 11:34 a.m.
PD Predicate disambiguation batch_69ff1b27f0f08190a9e74308c5b3d1ba completed May 9, 2026, 11:31 a.m.
PDg Predicate description generation batch_69ff1ba7494481908678a7a0f93dbd03 completed May 9, 2026, 11:33 a.m.
Created at: May 1, 2026, 1:10 a.m.