Triple

T8289650
Position Surface form Disambiguated ID Type / Status
Subject MPEG E193861 entity
Predicate hasStandard P1371 FINISHED
Object MPEG-4 AAC E236174 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: MPEG-4 AAC | Statement: [MPEG, hasStandard, MPEG-4 AAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-4 AAC
Context triple: [MPEG, hasStandard, MPEG-4 AAC]
  • A. HE-AAC v2
    HE-AAC v2 is an advanced audio codec profile that combines AAC with spectral band replication and parametric stereo to deliver high-quality sound at very low bitrates, commonly used in streaming and broadcasting.
  • B. Advanced Audio Coding chosen
    Advanced Audio Coding is a lossy digital audio compression format designed to provide better sound quality than MP3 at similar or lower bitrates and widely used in streaming, broadcasting, and multimedia applications.
  • C. 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.
  • D. 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.
  • E. ALAC
    ALAC is the At-Large Advisory Committee within ICANN that represents the interests of individual Internet users in global domain name policy development.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c99fdd48190a3f304237be609a0 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68898610819091a76f89cd2a6aa2 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.