Triple
T12207626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fréchet Inception Distance |
E290874
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | image quality metric |
C31100
|
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 quality metric Context triple: [Fréchet Inception Distance, instanceOf, image quality metric]
-
A.
image upscaling technology
Image upscaling technology is a set of algorithms and tools that increase the resolution and apparent quality of digital images by intelligently adding or refining pixel data, often using advanced methods like machine learning or deep learning.
-
B.
imager
An imager is a component or system that captures, generates, or processes visual representations of data, scenes, or objects into image form.
-
C.
image processing computer
An image processing computer is a specialized computing system designed to efficiently capture, analyze, transform, and interpret digital images using dedicated hardware and software algorithms.
-
D.
image service
An image service is a system that stores, processes, and delivers images—often including transformations like resizing, cropping, and format conversion—via programmatic interfaces or web endpoints.
-
E.
image recognition model
An image recognition model is a computational system that analyzes visual input to automatically identify, classify, and sometimes localize objects, patterns, or features within images.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:51 p.m.