Triple

T11352167
Position Surface form Disambiguated ID Type / Status
Subject Joint Video Team E268862 entity
Predicate standardDeveloped P1371 FINISHED
Object MPEG-4 Part 10 E826343 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 Part 10 | Statement: [Joint Video Team, standardDeveloped, MPEG-4 Part 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-4 Part 10
Context triple: [Joint Video Team, standardDeveloped, MPEG-4 Part 10]
  • A. 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.
  • B. ISO/IEC 14496-10 chosen
    ISO/IEC 14496-10 is the international standard that defines the Advanced Video Coding (AVC), commonly known as H.264, for efficient digital video compression.
  • C. 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.
  • 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. ISO/IEC 14496
    ISO/IEC 14496 is an international standard better known as MPEG-4, defining methods for coding audio-visual objects for multimedia, web, and broadcast applications.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b8d5f5c8190a80a52f2063bb5b0 completed April 20, 2026, 2:12 a.m.
Created at: April 8, 2026, 9:33 p.m.