Triple
T15949772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDTV |
E386783
|
entity |
| Predicate | usesAudioFormat |
P83355
|
FINISHED |
| Object | multichannel 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: multichannel audio | Statement: [HDTV, usesAudioFormat, multichannel audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAudioFormat Context triple: [HDTV, usesAudioFormat, multichannel audio]
-
A.
usesAudioFrom
Indicates that one entity incorporates or relies on the audio content produced or provided by another entity.
-
B.
audioFormatSupported
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
C.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
D.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
E.
audioStandard
chosen
Indicates the audio format or specification standard that applies to the associated media or device.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.