Triple

T9958066
Position Surface form Disambiguated ID Type / Status
Subject differential cryptanalysis E195492 entity
Predicate typicalTargetStructure P76740 FINISHED
Object substitution–permutation network 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: substitution–permutation network | Statement: [differential cryptanalysis, typicalTargetStructure, substitution–permutation network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalTargetStructure
Context triple: [differential cryptanalysis, typicalTargetStructure, substitution–permutation network]
  • A. typicalStructuralElement
    Indicates that one entity is a standard or characteristic structural component commonly found within or forming part of another entity.
  • B. primaryTargetType
    Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
  • C. typicalBase
    Indicates that one entity serves as the standard or most representative base or foundation for another entity in typical or common cases.
  • D. typicalObjectType chosen
    Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
  • E. commonStructure
    Indicates that two or more entities share the same or a very similar internal organization, pattern, or arrangement.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cceb608190ad4424afaddcabfa completed April 2, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:46 p.m.