Triple
T29690006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musix GNU+Linux (historical) |
E751186
|
entity |
| Predicate | supportsLowLatencyAudio |
P207167
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Musix GNU+Linux (historical), supportsLowLatencyAudio, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLowLatencyAudio Context triple: [Musix GNU+Linux (historical), supportsLowLatencyAudio, yes]
-
A.
supportsAutoLowLatencyMode
Indicates that the subject is capable of automatically enabling and managing a low-latency mode for its operations or interactions.
-
B.
supportsAudioReturnChannel
Indicates that one entity is capable of handling an audio return channel from another entity, allowing audio to be sent back over the same connection.
-
C.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
D.
supportsDownmixing
Indicates that one entity can convert or mix multi-channel audio into a format with fewer channels (e.g., surround sound to stereo).
-
E.
supportsBluetoothCodec
Indicates that one entity is capable of using or is compatible with a specified Bluetooth audio codec in its operation or communication.
- F. None of above. chosen
Provenance (4 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 28, 2026, 7:16 p.m.