Triple

T9740692
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC 14496-3 E236176 entity
Predicate usedIn P98 FINISHED
Object MPEG-4 file format E618932 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 file format | Statement: [ISO/IEC 14496-3, usedIn, MPEG-4 file format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-4 file format
Context triple: [ISO/IEC 14496-3, usedIn, MPEG-4 file format]
  • A. MPEG-4 container format chosen
    The MPEG-4 container format is a digital multimedia container standard used to store video, audio, subtitles, and other data in a single file, widely adopted for internet streaming and media distribution.
  • B. MPEG-4
    MPEG-4 is a multimedia compression and coding standard widely used for digital audio, video, and interactive media distribution over the internet and other networks.
  • C. MPEG
    MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
  • D. MPEG-4 Part 2
    MPEG-4 Part 2 is a video compression standard used for encoding digital video, notably in early MPEG-4 and DivX/Xvid formats.
  • E. H.264
    H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
  • 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.