Triple
T1893425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DLSS |
E41923
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | image upscaling technology |
C9940
|
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 upscaling technology Context triple: [DLSS, instanceOf, image upscaling technology]
-
A.
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.
-
B.
astronomical image
An astronomical image is a visual representation of celestial objects or phenomena captured by telescopes or space instruments across various wavelengths of the electromagnetic spectrum.
-
C.
Hubble Space Telescope image
A Hubble Space Telescope image is a high-resolution astronomical photograph captured from Earth’s orbit that reveals detailed structures and phenomena in the universe across multiple wavelengths.
-
D.
media foundation
A media foundation is an organization or institution that supports, funds, and promotes media-related activities, such as journalism, film, or digital content, often to advance public interest, education, or cultural development.
-
E.
bitmap graphics editor
A bitmap graphics editor is a software application that allows users to create, view, and modify images at the pixel level, typically supporting tools like brushes, selection, layers, and filters.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:34 p.m.