Triple

T35332740
Position Surface form Disambiguated ID Type / Status
Subject Kantorovich problem in optimal transport E1020368 entity
Predicate dualVariables P31338 FINISHED
Object Kantorovich potentials NE NERFINISHED

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: Kantorovich potentials | Statement: [Kantorovich problem in optimal transport, dualVariables, Kantorovich potentials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dualVariables
Context triple: [Kantorovich problem in optimal transport, dualVariables, Kantorovich potentials]
  • A. conjugateVariable
    Indicates that one variable is the conjugate counterpart of another, typically related by a conjugation operation such as complex, algebraic, or canonical conjugation.
  • B. dualPair chosen
    Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
  • C. coordinateVariables
    Indicates that the variables are aligned or paired together in a shared coordinate system or structured correspondence.
  • D. domainOfVariables
    Indicates that the predicate specifies the set or type of values that the variables involved in an expression or formula are allowed to take.
  • E. hasDualBasis
    Indicates that one mathematical structure serves as the dual basis corresponding to another basis, typically in a dual vector space.
  • 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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79533b88c8190934ec4cb21770e24 completed May 3, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f79104f5b48190a496cdffde8472da completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.