Triple

T6833206
Position Surface form Disambiguated ID Type / Status
Subject Jacobi method E157386 entity
Predicate convergenceRateDependsOn P14357 FINISHED
Object conditioning of the matrix A 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: conditioning of the matrix A | Statement: [Jacobi method, convergenceRateDependsOn, conditioning of the matrix A]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convergenceRateDependsOn
Context triple: [Jacobi method, convergenceRateDependsOn, conditioning of the matrix A]
  • A. convergenceProperty chosen
    Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
  • B. accuracyDependsOn
    Indicates that the accuracy of one entity or process is contingent upon, or influenced by, another entity or factor.
  • C. performanceDependsOn
    Indicates that the quality or outcome of one entity’s performance is contingent upon or influenced by another specified factor or entity.
  • D. displacementRate
    Indicates the rate at which an entity’s position changes over time relative to a reference point or frame.
  • E. timeDependence
    Indicates that one entity’s state, value, or behavior is determined by or varies as a function of another entity over time.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62b1e8c8190a81d91191a54b073 completed March 27, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69c6d09d95f0819091ca7f897dc21efe completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:18 p.m.