Triple
T28583163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPEG-1 Audio Layer III |
E723429
|
entity |
| Predicate | samplingRateRange |
P31523
|
FINISHED |
| Object | 16–48 kHz (MPEG-1/2) |
—
|
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: 16–48 kHz (MPEG-1/2) | Statement: [MPEG-1 Audio Layer III, samplingRateRange, 16–48 kHz (MPEG-1/2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplingRateRange Context triple: [MPEG-1 Audio Layer III, samplingRateRange, 16–48 kHz (MPEG-1/2)]
-
A.
soundFrequencyRange
Indicates the range of sound frequencies within which the related entity operates, is effective, or is characterized.
-
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.
bitrateRange
Indicates the range of data transfer rates (minimum to maximum bitrate) within which something, such as a media stream or encoding, operates.
-
D.
audioSampleRateHz
Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
-
E.
referenceRate
Indicates that one entity serves as the benchmark or base rate used to determine or adjust the rate applied to another entity or transaction.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 4:16 a.m.