Triple

T17520641
Position Surface form Disambiguated ID Type / Status
Subject Support Vector Machine E426671 entity
Predicate instanceOf P0 FINISHED
Object margin-based classifier C15492 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: margin-based classifier
Context triple: [Support Vector Machine, instanceOf, margin-based classifier]
  • A. Support Vector Machine classifier chosen
    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. 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.
  • C. statistical classification
    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.
  • D. canonical classification
    Canonical classification is a standardized method of organizing entities into universally recognized categories based on their essential, defining characteristics.
  • E. points classification
    Points classification is a conceptual class that categorizes entities based on accumulated points or scores according to predefined criteria or performance metrics.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
Created at: April 10, 2026, 5:49 a.m.