Triple
T29690008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musix GNU+Linux (historical) |
E751186
|
entity |
| Predicate | supportsALSA |
P168762
|
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), supportsALSA, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsALSA Context triple: [Musix GNU+Linux (historical), supportsALSA, yes]
-
A.
supportsPCM
Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
-
B.
soundHardware
Indicates that an entity is associated with, uses, or provides sound-related hardware components or capabilities.
-
C.
audioBackend
chosen
Indicates the audio processing or playback system used to handle sound for a given 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.
usesSoundDevice
Indicates that one entity operates or relies on a sound-producing or sound-processing device in relation to 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 7:16 p.m.