Triple
T25426235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALAC |
E637122
|
entity |
| Predicate | supportsGaplessPlayback |
P147910
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ALAC, supportsGaplessPlayback, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGaplessPlayback Context triple: [ALAC, supportsGaplessPlayback, true]
-
A.
supportsMusicPlayer
Indicates that one entity provides compatibility with or functionality for operating a music player associated with another entity.
-
B.
supportsDownmixing
Indicates that one entity can convert or mix multi-channel audio into a format with fewer channels (e.g., surround sound to stereo).
-
C.
playbackCharacteristic
Indicates the specific way in which something is played back, such as its playback behavior, quality, or technical properties during reproduction.
-
D.
longPlayMode
Indicates that an operation, device, or system is set to a mode that extends duration or playback time, typically by using resources more slowly than in normal mode.
-
E.
continuousPlay
chosen
Indicates that an activity or process proceeds without interruption or breaks over a period of time.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 21, 2026, 1:57 p.m.