Triple

T17520638
Position Surface form Disambiguated ID Type / Status
Subject Support Vector Machine E426671 entity
Predicate instanceOf P0 FINISHED
Object supervised learning algorithm 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: supervised learning algorithm
Context triple: [Support Vector Machine, instanceOf, supervised learning algorithm]
  • 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. model-based reinforcement learning algorithm
    A model-based reinforcement learning algorithm is a decision-making method that learns or uses an explicit model of the environment’s dynamics to plan and select actions that maximize long-term rewards.
  • C. machine learning library
    A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
  • D. unsupervised learning method
    An unsupervised learning method is a type of machine learning approach that discovers patterns, structures, or groupings in unlabeled data without predefined output targets.
  • E. 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.
  • 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.