Triple

T12597482
Position Surface form Disambiguated ID Type / Status
Subject classical fourth-order Runge–Kutta method E300768 entity
Predicate isTradeOffBetween P28908 FINISHED
Object accuracy and computational cost 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: accuracy and computational cost | Statement: [classical fourth-order Runge–Kutta method, isTradeOffBetween, accuracy and computational cost]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTradeOffBetween
Context triple: [classical fourth-order Runge–Kutta method, isTradeOffBetween, accuracy and computational cost]
  • A. hasTradeoff chosen
    Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
  • B. hasDesignTradeoff
    Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
  • C. compromiseBetween
    Indicates a relationship in which two or more parties mutually adjust their positions or demands to reach a middle-ground agreement.
  • D. isTradeOriented
    Indicates that an entity is primarily focused on commercial exchange, market activities, or trade-related objectives in its operations or behavior.
  • E. arbitratesBetween
    Indicates that an entity serves as a neutral decision-maker or mediator in resolving a dispute or conflict between two other entities.
  • 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_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:08 p.m.