Triple
T17417278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Context-Adaptive Binary Arithmetic Coding |
E423519
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | lossless coding method |
C7458
|
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: lossless coding method Context triple: [Context-Adaptive Binary Arithmetic Coding, instanceOf, lossless coding method]
-
A.
lossless audio codec
A lossless audio codec is a method of encoding digital audio that compresses data without any loss of quality, allowing the original audio to be perfectly reconstructed during playback or decoding.
-
B.
lossy compression standard
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.
-
C.
encoding scheme
chosen
An encoding scheme is a systematic method for converting information from one representation or format into another, typically to enable storage, transmission, or processing by specific systems.
-
D.
digital audio codec
A digital audio codec is a system or algorithm that encodes and compresses audio signals into a digital format for storage or transmission and decodes them back into audio for playback.
-
E.
linear block code
A linear block code is an error-correcting code that encodes fixed-length blocks of data into longer blocks using linear algebra over a finite field, enabling detection and correction of transmission errors.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:46 a.m.