Triple

T32669246
Position Surface form Disambiguated ID Type / Status
Subject AEVB E835244 entity
Predicate instanceOf P0 FINISHED
Object variational inference framework C5493 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: variational inference framework
Context triple: [AEVB, instanceOf, variational inference framework]
  • A. artificial intelligence framework
    An artificial intelligence framework is a structured software environment that provides tools, libraries, and interfaces to design, train, deploy, and manage AI and machine learning models efficiently.
  • B. machine learning framework chosen
    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.
  • C. modeling framework
    A modeling framework is a structured set of concepts, methods, and tools used to construct, analyze, and interpret representations of real-world systems or phenomena.
  • 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. statistical framework
    A statistical framework is a structured set of principles, assumptions, and methods that guides how data are collected, modeled, analyzed, and interpreted to draw valid inferences about underlying phenomena.
  • 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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
Created at: May 1, 2026, 1:08 a.m.