Triple

T36491718
Position Surface form Disambiguated ID Type / Status
Subject Omniglot E899066 entity
Predicate instanceOf P0 FINISHED
Object one-shot learning benchmark C13033 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: one-shot learning benchmark
Context triple: [Omniglot, instanceOf, one-shot learning benchmark]
  • A. benchmark in artificial intelligence chosen
    A benchmark in artificial intelligence is a standardized task, dataset, or evaluation protocol used to quantitatively compare and assess the performance of AI models and algorithms.
  • B. one-stage detector
    A one-stage detector is an object detection model that directly predicts object classes and bounding boxes in a single pass over the image without a separate region proposal stage.
  • C. benchmark dataset
    A benchmark dataset is a standardized collection of data designed to objectively evaluate, compare, and validate the performance of algorithms, models, or systems on specific tasks.
  • D. ensemble training approach
    An ensemble training approach is a machine learning strategy that combines multiple models, often trained with diverse architectures, data subsets, or initialization seeds, to produce a more robust and accurate aggregated prediction than any individual model alone.
  • E. landmark paper in machine learning
    A landmark paper in machine learning is a highly influential publication that introduces foundational theories, algorithms, or empirical results that significantly shape subsequent research and practice in the field.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
Created at: May 3, 2026, 4:10 p.m.