Triple
T36491301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSCOCO |
E899057
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | image captioning 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: image captioning dataset Context triple: [MSCOCO, instanceOf, image captioning dataset]
-
A.
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.
-
B.
vision-language dataset
chosen
A vision-language dataset is a curated collection of paired visual data (such as images or videos) and corresponding textual annotations designed to train and evaluate models that jointly understand and generate visual and linguistic information.
-
C.
image
An image is a visual representation of objects, scenes, or concepts captured or generated in a two-dimensional form.
-
D.
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.
-
E.
educational image database
An educational image database is a curated digital repository of images organized and annotated to support teaching, learning, and research across various subjects and educational levels.
- 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.