Triple

T17520516
Position Surface form Disambiguated ID Type / Status
Subject OneHotEncoder E426668 entity
Predicate instanceOf P0 FINISHED
Object machine learning preprocessing technique C15495 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: machine learning preprocessing technique
Context triple: [OneHotEncoder, instanceOf, machine learning preprocessing technique]
  • A. neural network normalization technique
    A neural network normalization technique is a method that rescales and shifts activations or inputs within a model to stabilize training, improve convergence, and enhance generalization.
  • B. natural language processing technique
    A natural language processing technique is a computational method or algorithm designed to enable computers to understand, interpret, generate, or manipulate human language in a meaningful way.
  • C. scikit-learn transformer chosen
    A scikit-learn transformer is an object that implements fit and transform methods to learn from training data and apply deterministic data transformations within machine learning pipelines.
  • D. 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.
  • 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.