Triple

T12597472
Position Surface form Disambiguated ID Type / Status
Subject classical fourth-order Runge–Kutta method E300768 entity
Predicate isConditionallyStable P105627 FINISHED
Object true 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: true | Statement: [classical fourth-order Runge–Kutta method, isConditionallyStable, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isConditionallyStable
Context triple: [classical fourth-order Runge–Kutta method, isConditionallyStable, true]
  • A. isStable
    Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
  • B. haveStabilityDeterminedBy
    Indicates that the stability of one entity is determined or governed by another specified factor or entity.
  • C. stabilizedBy
    Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
  • D. hasStabilityLevel
    Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
  • E. isUnstable
    Indicates that the subject lacks stability or consistency, often changing, fluctuating, or failing to remain in a steady state.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
PDg Predicate description generation batch_69d95590a5e08190842b988531cf2921 completed April 10, 2026, 7:54 p.m.
Created at: April 9, 2026, 5:08 p.m.