Triple

T12597451
Position Surface form Disambiguated ID Type / Status
Subject classical fourth-order Runge–Kutta method E300768 entity
Predicate usesDependentVariable P50849 FINISHED
Object y 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: y | Statement: [classical fourth-order Runge–Kutta method, usesDependentVariable, y]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesDependentVariable
Context triple: [classical fourth-order Runge–Kutta method, usesDependentVariable, y]
  • A. hasDependentVariable
    Indicates that one variable’s value is determined by, or functionally depends on, the value(s) of another variable or set of variables.
  • B. hasIndependentVariable
    Indicates that one entity functions as the independent variable that influences or determines another entity in a relationship or experiment.
  • C. usesVAR chosen
    Indicates that one entity makes use of, employs, or utilizes another entity as a variable or resource in performing some function or operation.
  • D. usedInDependency
    Indicates that one element is utilized as a dependency by another element, such that the latter relies on the former for its functionality or composition.
  • E. observerDependent
    Indicates that the truth, value, or manifestation of something varies depending on which observer is considering or measuring it.
  • 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_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.
Created at: April 9, 2026, 5:08 p.m.