Triple

T9740562
Position Surface form Disambiguated ID Type / Status
Subject Advanced Audio Coding E236174 entity
Predicate predecessor P97 FINISHED
Object MP3 E723429 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: MP3 | Statement: [Advanced Audio Coding, predecessor, MP3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MP3
Context triple: [Advanced Audio Coding, predecessor, MP3]
  • A. MP3
    MP3 is a widely used digital audio format that compresses sound data to significantly reduce file size while maintaining acceptable listening quality.
  • B. MPEG-1 Audio Layer III chosen
    MPEG-1 Audio Layer III, commonly known as MP3, is a widely used digital audio encoding format that compresses sound data to significantly reduce file size while maintaining acceptable sound quality.
  • C. Monkey's Audio
    Monkey's Audio is a lossless audio compression format and codec known for its high compression ratios and Windows-focused software tools.
  • D. WMA
    WMA is a proprietary audio compression format developed by Microsoft as part of its Windows Media framework.
  • E. FLAC
    FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f29a5bc8190b2b391017405c71e completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe974608190874e2aba2189de80 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:22 p.m.