Triple

T7415094
Position Surface form Disambiguated ID Type / Status
Subject AddRoundKey E171108 entity
Predicate isLinearOver P38258 FINISHED
Object GF(2) 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: GF(2) | Statement: [AddRoundKey, isLinearOver, GF(2)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLinearOver
Context triple: [AddRoundKey, isLinearOver, GF(2)]
  • A. isLinear chosen
    Indicates that a relationship, function, or structure preserves linearity, typically meaning it satisfies additivity and homogeneity (or forms a straight-line dependence between variables).
  • B. linearity
    Indicates that a relationship between quantities preserves addition and scalar multiplication, so outputs change in direct proportion to inputs.
  • C. isIntegralOver
    Indicates that one algebraic structure (typically a ring element or extension) satisfies a monic polynomial with coefficients in another ring, expressing that it is algebraically dependent on and “integral over” that base ring.
  • D. supportsLinearPrediction
    Indicates that one entity provides the necessary structure or properties for another entity to perform or rely on linear prediction.
  • E. isLinedWith
    Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c643248190a387abba2f482b25 completed March 27, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69c6f0345040819094c5756dfa487faf completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:11 p.m.