Triple

T12597465
Position Surface form Disambiguated ID Type / Status
Subject classical fourth-order Runge–Kutta method E300768 entity
Predicate requiresSolvingAlgebraicEquations P105625 FINISHED
Object false 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: false | Statement: [classical fourth-order Runge–Kutta method, requiresSolvingAlgebraicEquations, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresSolvingAlgebraicEquations
Context triple: [classical fourth-order Runge–Kutta method, requiresSolvingAlgebraicEquations, false]
  • A. supportsEquations
    Indicates that one entity provides the capability to handle, display, or work with mathematical equations for another entity or within a given context.
  • B. admitsSolution
    Indicates that a problem, system, or situation allows for or possesses at least one valid solution.
  • C. numberOfIndependentEquations
    Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
  • D. numberOfEquations
    Indicates the total count of equations associated with or involved in a given entity or context.
  • E. isSolutionOf
    Indicates that one entity is a correct answer or satisfies the conditions of a given problem, equation, or task.
  • 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_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69d95416cbd88190b2c65196162349bc completed April 10, 2026, 7:48 p.m.
PDg Predicate description generation batch_69d954e351f88190869220d46e0ce282 completed April 10, 2026, 7:52 p.m.
Created at: April 9, 2026, 5:08 p.m.