Triple

T32257829
Position Surface form Disambiguated ID Type / Status
Subject TensorFlow in Practice Specialization E824069 entity
Predicate instanceOf P0 FINISHED
Object deep learning program C29355 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: deep learning program
Context triple: [TensorFlow in Practice Specialization, instanceOf, deep learning program]
  • A. 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.
  • B. deep learning framework
    A deep learning framework is a software library or platform that provides tools, abstractions, and optimized components to design, train, and deploy neural network models efficiently.
  • C. deep learning library
    A deep learning library is a software framework that provides tools, abstractions, and optimized routines to design, train, and deploy neural network models.
  • D. deep learning training processor
    A deep learning training processor is a specialized hardware or software component optimized to efficiently execute and accelerate the computational workloads involved in training deep neural networks.
  • E. data science program chosen
    A data science program is an organized curriculum or course of study that teaches methods, tools, and theories for extracting insights and knowledge from data.
  • 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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
Created at: May 1, 2026, 12:41 a.m.