Triple
T25426212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALAC |
E637122
|
entity |
| Predicate | supportsSampleRateUpTo |
P31523
|
FINISHED |
| Object | 384 kHz |
—
|
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: 384 kHz | Statement: [ALAC, supportsSampleRateUpTo, 384 kHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSampleRateUpTo Context triple: [ALAC, supportsSampleRateUpTo, 384 kHz]
-
A.
supportsDownmixing
Indicates that one entity can convert or mix multi-channel audio into a format with fewer channels (e.g., surround sound to stereo).
-
B.
audioSampleRates
chosen
Indicates the relationship between an audio resource and the sample rate(s) at which that audio is encoded or can be processed.
-
C.
audioSampleRateHz
Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
-
D.
supportsFrameRates
Indicates that one entity is capable of operating with, handling, or being compatible with the specified frame rates of another entity.
-
E.
supportsHighDynamicRangeAudio
Indicates that an entity is capable of handling or providing audio with a high dynamic range, preserving a wide span between the quietest and loudest sounds.
- 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_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 21, 2026, 1:57 p.m.