Triple

T8611045
Position Surface form Disambiguated ID Type / Status
Subject aptX E203913 entity
Predicate hasVariant P455 FINISHED
Object aptX Lossless E203913 NE 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: aptX Lossless | Statement: [aptX, hasVariant, aptX Lossless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: aptX Lossless
Context triple: [aptX, hasVariant, aptX Lossless]
  • A. aptX chosen
    aptX is an audio codec designed to deliver higher-quality, low-latency wireless sound, commonly used over Bluetooth connections for music and media streaming.
  • B. LDAC
    LDAC is a high-resolution Bluetooth audio codec developed by Sony that enables wireless transmission of higher-quality audio than standard codecs like SBC.
  • C. Dolby TrueHD
    Dolby TrueHD is a lossless multichannel audio codec designed for high-definition home entertainment formats like Blu-ray to deliver studio-quality surround sound.
  • D. DTS-HD Master Audio
    DTS-HD Master Audio is a high-definition, lossless multichannel audio codec commonly used on Blu-ray Discs to deliver studio-quality surround sound.
  • E. MQA
    MQA (Master Quality Authenticated) is a proprietary audio codec and encoding technology designed to deliver high-resolution, studio-quality sound in relatively small file sizes for streaming and playback.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46fc31e08190aab5ab8f92f3315c completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc8b99cc8190b319a435f456ec05 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:25 p.m.