Triple

T17417476
Position Surface form Disambiguated ID Type / Status
Subject VP9 E423522 entity
Predicate fileFormatSupport P8463 FINISHED
Object Matroska 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: Matroska | Statement: [VP9, fileFormatSupport, Matroska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matroska
Context triple: [VP9, fileFormatSupport, Matroska]
  • A. Matroska chosen
    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.
  • B. MPEG-4 container format
    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.
  • C. MXF
    MXF is the IATA airport code for Maxwell Air Force Base, a United States Air Force installation located in Montgomery, Alabama.
  • D. 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.
  • E. 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.
  • 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.