Triple

T4277007
Position Surface form Disambiguated ID Type / Status
Subject GridSearchCV E97067 entity
Predicate acceptsParameter P12016 FINISHED
Object estimator 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: estimator | Statement: [GridSearchCV, acceptsParameter, estimator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acceptsParameter
Context triple: [GridSearchCV, acceptsParameter, estimator]
  • A. hasParameter
    Indicates that an entity is associated with a specific parameter that defines or constrains some aspect of its behavior, configuration, or characteristics.
  • B. hasArgument
    Indicates that one entity serves as an argument (such as an input, parameter, or participant) in relation to another entity, typically a function, event, or statement.
  • C. parameter chosen
    Indicates that one entity serves as a parameter or argument that configures, constrains, or influences the behavior or outcome of another entity or process.
  • D. hasDimensionParameter
    Indicates that an entity is associated with a specific dimensional parameter (such as size, length, width, or height) that characterizes its measurable extent.
  • E. respondsTo
    Indicates that one entity replies or reacts to a message, action, or stimulus originating from another entity.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.