Triple

T26378264
Position Surface form Disambiguated ID Type / Status
Subject Habana Gaudi E660956 entity
Predicate instanceOf P0 FINISHED
Object deep learning training processor C51488 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 training processor
Context triple: [Habana Gaudi, instanceOf, deep learning training processor]
  • 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. 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 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.
  • D. 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.
  • E. AI inference server
    An AI inference server is a system that hosts trained machine learning models and processes incoming requests to generate predictions or responses in real time.
  • 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_69ee812a698881908d6a58265995fa39 completed April 26, 2026, 9:18 p.m.
Created at: April 26, 2026, 11:02 p.m.