Triple

T31909346
Position Surface form Disambiguated ID Type / Status
Subject ONNX Runtime E814638 entity
Predicate instanceOf P0 FINISHED
Object deep learning runtime C28944 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 runtime
Context triple: [ONNX Runtime, instanceOf, deep learning runtime]
  • A. 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.
  • 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. inference runtime library chosen
    An inference runtime library is a software component that efficiently executes trained machine learning models on target hardware, managing model loading, optimization, and prediction workflows.
  • 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. 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.
  • 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_69f348f109d88190b5005372c53d2fcd completed April 30, 2026, 12:20 p.m.
Created at: May 1, 2026, 12:01 a.m.