Triple
T27619077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compact Disc |
E700518
|
entity |
| Predicate | audioSamplingRate |
P32172
|
FINISHED |
| Object | 44.1 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: 44.1 kHz | Statement: [Compact Disc, audioSamplingRate, 44.1 kHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioSamplingRate Context triple: [Compact Disc, audioSamplingRate, 44.1 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.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
-
D.
soundRecordingSpeed
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
E.
audioFormatSupported
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 2:13 p.m.