Triple
T8435756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Original Chip Set |
E199218
|
entity |
| Predicate | audioSampleRate |
P32172
|
FINISHED |
| Object | up to approximately 28 kHz per channel |
—
|
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: up to approximately 28 kHz per channel | Statement: [Original Chip Set, audioSampleRate, up to approximately 28 kHz per channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioSampleRate Context triple: [Original Chip Set, audioSampleRate, up to approximately 28 kHz per channel]
-
A.
audioSampleRateHz
chosen
Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
-
B.
audioSampleRates
Indicates the relationship between an audio resource and the sample rate(s) at which that audio is encoded or can be processed.
-
C.
longFormSampleRate
Indicates the sampling rate used when capturing or representing a long-form version of some data or signal.
-
D.
soundRecordingSpeed
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
E.
soundFrequencyRange
Indicates the range of sound frequencies within which the related entity operates, is effective, or is characterized.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.