Triple

T36491351
Position Surface form Disambiguated ID Type / Status
Subject Flickr8k E899058 entity
Predicate instanceOf P0 FINISHED
Object vision-language dataset C63730 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: vision-language dataset
Context triple: [Flickr8k, instanceOf, vision-language dataset]
  • A. visual discovery engine
    A visual discovery engine is a system that helps users explore and find relevant content, products, or ideas primarily through images and visual cues rather than text-based search.
  • B. image captioning model
    An image captioning model is a system that automatically generates descriptive natural language sentences that explain the content of an input image.
  • C. bilingual dataset
    A bilingual dataset is a structured collection of aligned or comparable data in two different languages, typically used for tasks like machine translation, cross-lingual learning, or linguistic analysis.
  • D. semantic segmentation dataset class
    A semantic segmentation dataset class manages and provides access to images and their corresponding pixel-wise labeled masks, enabling efficient loading, preprocessing, and batching for training and evaluating segmentation models.
  • E. multimodal large language model family
    A multimodal large language model family is a group of related neural models that can jointly process and generate multiple data modalities—such as text, images, audio, or video—using shared architectures, training objectives, and parameterizations.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
Created at: May 3, 2026, 4:10 p.m.