Triple
T5015667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SBC |
E112735
|
entity |
| Predicate | audioCodingMethod |
P53672
|
FINISHED |
| Object | subband coding |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: subband coding | Statement: [SBC, audioCodingMethod, subband coding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioCodingMethod Context triple: [SBC, audioCodingMethod, subband coding]
-
A.
audioCodingType
chosen
Indicates the specific method or standard used to encode or compress an audio signal.
-
B.
dataEncodingMethod
Indicates the specific technique or format used to encode data for storage, transmission, or processing.
-
C.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
D.
videoEncoding
Indicates that one entity is used to encode, compress, or transform video data into a particular digital format or representation for another entity.
-
E.
decodingMethod
Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
- F. None of above.
Provenance (3 batches)
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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.