Triple

T4808012
Position Surface form Disambiguated ID Type / Status
Subject PonoMusic E106993 entity
Predicate audioResolutionSupport P28700 FINISHED
Object 24-bit 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: 24-bit | Statement: [PonoMusic, audioResolutionSupport, 24-bit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audioResolutionSupport
Context triple: [PonoMusic, audioResolutionSupport, 24-bit]
  • A. supportsAudioQuality chosen
    Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
  • 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. audioSampleRateHz
    Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
  • D. supportsAudioReturnChannel
    Indicates that one entity is capable of handling an audio return channel from another entity, allowing audio to be sent back over the same connection.
  • E. audioCodingType
    Indicates the specific method or standard used to encode or compress an audio signal.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c1c43a48190a65e56b1624a2339 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:23 p.m.