Triple

T31851625
Position Surface form Disambiguated ID Type / Status
Subject TensorFlow GraphDef E813079 entity
Predicate instanceOf P0 FINISHED
Object TensorFlow graph representation C57865 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: TensorFlow graph representation
Context triple: [TensorFlow GraphDef, instanceOf, TensorFlow graph representation]
  • A. 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.
  • B. 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.
  • C. tensor
    A tensor is a multidimensional array of numerical values that generalizes scalars, vectors, and matrices to represent data or linear relationships across multiple dimensions.
  • D. framework for tensor analysis
    A framework for tensor analysis is a structured system of concepts, operations, and tools that enables the representation, manipulation, and interpretation of multi-dimensional data using tensor algebra and related computational methods.
  • E. neural network component
    A neural network component is a modular unit—such as a layer, activation function, or connection pattern—that processes and transforms input data as part of a larger neural architecture to enable learning and inference.
  • 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_69f348eb327881909b4584b925742f6e completed April 30, 2026, 12:19 p.m.
Created at: April 30, 2026, 11:51 p.m.