Triple
T4238975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.722 |
E94763
|
entity |
| Predicate | audioType |
P48651
|
FINISHED |
| Object | wideband 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: wideband audio | Statement: [G.722, audioType, wideband audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioType Context triple: [G.722, audioType, wideband audio]
-
A.
audioCodingType
Indicates the specific method or standard used to encode or compress an audio signal.
-
B.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
C.
hasAudioFeature
chosen
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
D.
phonographicType
Indicates the specific kind or category of phonographic recording or medium associated with an entity.
-
E.
audioOnlyFeatureIntroduced
Indicates that a feature has been introduced which supports or enables audio-only functionality, without accompanying visual content.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e76b6e0819084d0ce137b5ba74e |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.