Triple

T26408475
Position Surface form Disambiguated ID Type / Status
Subject Square cipher E663893 entity
Predicate hasRoundFunction P170950 FINISHED
Object byte substitution 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: byte substitution | Statement: [Square cipher, hasRoundFunction, byte substitution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoundFunction
Context triple: [Square cipher, hasRoundFunction, byte substitution]
  • A. hasRound
    Indicates that an entity possesses, includes, or is associated with a particular round (e.g., a round of an event, game, or process).
  • B. hasGeneratingFunction
    Indicates that one entity serves as the generating function associated with, or defining, another entity.
  • C. hasLFunction
    Indicates that an entity possesses or is associated with a specific L-function, typically representing a complex analytic function linked to its arithmetic or geometric properties.
  • D. hasChainFunction
    Indicates that an entity possesses or is associated with a specific function or role within a chain or sequence of operations.
  • E. roundFunctionType
    Indicates that a function or operation is of a type that performs a rounding transformation on its input values.
  • 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6984bb55c8190862eb8796868d188 completed May 3, 2026, 12:35 a.m.
PD Predicate disambiguation batch_69f69661e6ec8190948251c7516a32ad completed May 3, 2026, 12:27 a.m.
PDg Predicate description generation batch_69f6978ec27c8190a488e1f9c2566d38 completed May 3, 2026, 12:32 a.m.
Created at: April 26, 2026, 11:36 p.m.