Triple

T29776682
Position Surface form Disambiguated ID Type / Status
Subject Kirkpatrick model of training evaluation E755397 entity
Predicate instanceOf P0 FINISHED
Object training evaluation model C55693 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: training evaluation model
Context triple: [Kirkpatrick model of training evaluation, instanceOf, training evaluation model]
  • A. evaluation metric
    An evaluation metric is a quantitative measure used to assess the performance, quality, or effectiveness of a model, system, or process against defined criteria or ground truth.
  • B. training pipeline
    A training pipeline is an orchestrated sequence of data processing, model training, evaluation, and deployment steps that automates and standardizes the creation of machine learning models.
  • C. deep learning model
    A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
  • D. meta-estimator
    A meta-estimator is a higher-level model that wraps or combines one or more base estimators to extend, modify, or coordinate their behavior for tasks like ensembling, preprocessing, or model selection.
  • E. machine learning model repository
    A machine learning model repository is a centralized system for storing, versioning, organizing, and sharing trained models and their associated metadata throughout their lifecycle.
  • F. None of above. chosen

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_69f0ef878574819088c867fd1a5c8b86 completed April 28, 2026, 5:33 p.m.
Created at: April 28, 2026, 8:47 p.m.