Triple
T32377472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVR-MS |
E827328
|
entity |
| Predicate | audioCodecSupport |
P53672
|
FINISHED |
| Object | MPEG-1 Layer II audio |
—
|
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: MPEG-1 Layer II audio | Statement: [DVR-MS, audioCodecSupport, MPEG-1 Layer II audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioCodecSupport Context triple: [DVR-MS, audioCodecSupport, MPEG-1 Layer II audio]
-
A.
audioFormatSupported
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
B.
audioCodecFamily
Indicates the general codec family or standard to which an audio codec belongs.
-
C.
audioCodingType
chosen
Indicates the specific method or standard used to encode or compress an audio signal.
-
D.
supportsBluetoothCodec
Indicates that one entity is capable of using or is compatible with a specified Bluetooth audio codec in its operation or communication.
-
E.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c13196108190bfb822e6a3584df4 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:51 a.m.