Triple

T17417475
Position Surface form Disambiguated ID Type / Status
Subject VP9 E423522 entity
Predicate fileFormatSupport P8463 FINISHED
Object WebM NE NERFINISHED

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: WebM | Statement: [VP9, fileFormatSupport, WebM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WebM
Context triple: [VP9, fileFormatSupport, WebM]
  • A. WebM chosen
    WebM is an open, royalty-free multimedia container format primarily used for web video and audio, designed for efficient streaming and supported by modern browsers and codecs.
  • B. WebM project
    The WebM project is an open, royalty-free multimedia format initiative by Google that develops video and audio codecs and container formats for use on the web.
  • 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-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.
  • E. VP9
    VP9 is an open and royalty-free video compression codec developed by Google as a successor to VP8 and an alternative to HEVC/H.265 for high-efficiency video streaming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44233c7888190a4d2aa703b206851 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.