Triple

T31909344
Position Surface form Disambiguated ID Type / Status
Subject ONNX Runtime E814638 entity
Predicate instanceOf P0 FINISHED
Object machine learning inference engine 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: machine learning inference engine
Context triple: [ONNX Runtime, instanceOf, machine learning inference engine]
  • A. 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.
  • B. 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.
  • C. machine learning framework
    A machine learning framework is a software library or platform that provides tools, abstractions, and workflows to design, train, evaluate, and deploy machine learning models efficiently.
  • D. machine learning library
    A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
  • 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_69f348f109d88190b5005372c53d2fcd completed April 30, 2026, 12:20 p.m.
Created at: May 1, 2026, 12:01 a.m.