Triple

T4808014
Position Surface form Disambiguated ID Type / Status
Subject PonoMusic E106993 entity
Predicate fileFormatSupport P8463 FINISHED
Object FLAC E163320 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: FLAC | Statement: [PonoMusic, fileFormatSupport, FLAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FLAC
Context triple: [PonoMusic, fileFormatSupport, FLAC]
  • A. FLAC chosen
    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.
  • B. ALAC
    ALAC is the At-Large Advisory Committee within ICANN that represents the interests of individual Internet users in global domain name policy development.
  • C. Matroska
    Matroska is an open standard, extensible multimedia container format best known for its MKV files that can hold multiple video, audio, subtitle, and metadata streams in a single package.
  • D. MPEG-1 Layer II audio
    MPEG-1 Layer II audio is a lossy audio compression format widely used in digital broadcasting and early digital media for efficient, good-quality stereo sound.
  • E. FSE
    FSE (Fast Software Encryption) is a leading international research conference focused on the design and analysis of symmetric-key cryptographic primitives and algorithms.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6a98a481909ef273d9946906a4 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:23 p.m.