Triple

T8912700
Position Surface form Disambiguated ID Type / Status
Subject Fisher's linear discriminant E212221 entity
Predicate instanceOf P0 FINISHED
Object linear classifier C20846 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07 
Target class: linear classifier
Context triple: [Fisher's linear discriminant, instanceOf, linear classifier]
  • A. Support Vector Machine classifier
    A Support Vector Machine classifier is a supervised learning model that finds the optimal separating hyperplane (or decision boundary) in a high-dimensional feature space to maximize the margin between different classes for robust classification.
  • B. scikit-learn class
    A scikit-learn class is a Python object that encapsulates a specific machine learning component (such as an estimator, transformer, or model selection tool) with a consistent API for fitting to data and making predictions or transformations.
  • C. classification board
    A classification board is an authoritative body or panel that evaluates and assigns categories, ratings, or classifications to items such as media, products, or information based on defined criteria and standards.
  • D. statistical classification chosen
    Statistical classification is the process of assigning items or observations to predefined categories or classes based on their measured features using probabilistic or algorithmic decision rules.
  • E. canonical classification
    Canonical classification is a standardized method of organizing entities into universally recognized categories based on their essential, defining characteristics.
  • F. None of above.

Provenance (1 batch)

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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
Created at: March 30, 2026, 6:56 p.m.