Triple

T31851536
Position Surface form Disambiguated ID Type / Status
Subject OpenVINO E813078 entity
Predicate instanceOf P0 FINISHED
Object deep learning inference toolkit 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 inference toolkit
Context triple: [OpenVINO, instanceOf, deep learning inference toolkit]
  • A. 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.
  • B. 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.
  • 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 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.
  • E. edge AI platform
    An edge AI platform is an integrated hardware and software environment that deploys, manages, and runs artificial intelligence models directly on edge devices close to data sources, enabling low-latency, secure, and efficient processing without relying heavily on centralized cloud resources.
  • 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_69f348eb327881909b4584b925742f6e completed April 30, 2026, 12:19 p.m.
Created at: April 30, 2026, 11:51 p.m.