Triple

T17520704
Position Surface form Disambiguated ID Type / Status
Subject LIBSVM E426672 entity
Predicate instanceOf P0 FINISHED
Object support vector machine implementation 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: support vector machine implementation
Context triple: [LIBSVM, instanceOf, support vector machine implementation]
  • 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. 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. 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. 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.
  • E. machine learning framework
    A machine learning framework is a software library or platform that provides tools, abstractions, and workflows to design, train, evaluate, and deploy machine learning models efficiently.
  • 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.