Triple
T24813323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JPEG 2000 |
E620848
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | image compression standard |
C21624
|
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 compression standard Context triple: [JPEG 2000, instanceOf, image compression standard]
-
A.
lossy compression standard
chosen
A lossy compression standard is a formally defined method for reducing data size by irreversibly discarding less perceptible information while maintaining acceptable quality for its intended use.
-
B.
video compression standard
A video compression standard is a defined set of algorithms and rules that specify how digital video is encoded, transmitted, stored, and decoded to reduce file size while maintaining acceptable visual quality.
-
C.
multimedia codec specification series
A multimedia codec specification series is a structured collection of related technical standards that define how audio, video, and other media data are encoded, compressed, transmitted, and decoded across different systems and applications.
-
D.
imager
An imager is a component or system that captures, generates, or processes visual representations of data, scenes, or objects into image form.
-
E.
audio coding standard family
An audio coding standard family is a group of related specifications that define how digital audio is compressed, encoded, transmitted, and decoded to balance quality, bitrate, and compatibility across devices and applications.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 4:56 a.m.