Triple

T18016636
Position Surface form Disambiguated ID Type / Status
Subject torch.utils.data.Dataset E431012 entity
Predicate instanceOf P0 FINISHED
Object PyTorch class C15629 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: PyTorch class
Context triple: [torch.utils.data.Dataset, instanceOf, PyTorch class]
  • A. torch
    A torch is a portable light source, traditionally a stick with a combustible material at one end and in modern usage often a handheld electric device, used to illuminate dark areas.
  • B. PyTorch ecosystem project chosen
    A PyTorch ecosystem project is a library, tool, or framework that extends or integrates with PyTorch to support tasks such as model development, training, deployment, or domain-specific applications.
  • C. machine learning model class
    A machine learning model class is a blueprint that defines the structure, parameters, and learning behavior of models that can be instantiated to learn patterns from data and make predictions or decisions.
  • D. PyTorch accelerator backend
    A PyTorch accelerator backend is a hardware-specific execution layer that optimizes and dispatches tensor operations to devices like GPUs, TPUs, or specialized accelerators to improve training and inference performance.
  • E. scikit-learn class
    A scikit-learn class is a Python object that encapsulates a specific machine learning component (such as an estimator, transformer, or model selection tool) with a consistent API for fitting to data and making predictions or transformations.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
Created at: April 10, 2026, 10:24 a.m.