Triple
T6953635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DD 5.1 |
E161187
|
entity |
| Predicate | typicalSampleRate |
P32172
|
FINISHED |
| Object | 48 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: 48 kHz | Statement: [DD 5.1, typicalSampleRate, 48 kHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSampleRate Context triple: [DD 5.1, typicalSampleRate, 48 kHz]
-
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.
typicalFrequencyUnit
Indicates the unit of measurement typically used to express the frequency of an event, action, or occurrence.
-
D.
longFormSampleRate
Indicates the sampling rate used when capturing or representing a long-form version of some data or signal.
-
E.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.