Triple

T37547128
Position Surface form Disambiguated ID Type / Status
Subject Wahba problem in spline smoothing E933493 entity
Predicate smoothingParameterRole P97142 FINISHED
Object controls tradeoff between fit and smoothness 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: controls tradeoff between fit and smoothness | Statement: [Wahba problem in spline smoothing, smoothingParameterRole, controls tradeoff between fit and smoothness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: smoothingParameterRole
Context triple: [Wahba problem in spline smoothing, smoothingParameterRole, controls tradeoff between fit and smoothness]
  • A. parametrizes chosen
    Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
  • B. regularizationControlledBy
    Indicates that the regularization applied in a process, model, or system is governed, adjusted, or determined by a specific controlling factor or mechanism.
  • C. smoothness
    Indicates the degree to which a surface or transition is even, continuous, and free from roughness or abrupt changes.
  • D. isSmoothedVersionOf
    Indicates that one entity is a modified form of another in which variations or irregularities have been reduced to create a smoother representation.
  • E. typicalParameterBeta
    Indicates that the referenced value is the typical or standard beta parameter used in a model, distribution, or process.
  • 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_69f76eca55bc8190acf25741793d5dac completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba5eec0448190a5e6f0c43fdcd0e3 completed May 6, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69fba34edd548190bfa980e6e16e0a88 completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:17 p.m.