Triple

T31150149
Position Surface form Disambiguated ID Type / Status
Subject Nikon D6 E794049 entity
Predicate videoRecordingFormat P85676 FINISHED
Object MOV LITERAL 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: MOV | Statement: [Nikon D6, videoRecordingFormat, MOV]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: videoRecordingFormat
Context triple: [Nikon D6, videoRecordingFormat, MOV]
  • A. defaultFileFormatVideo chosen
    Indicates the default file format used for saving or exporting video content.
  • B. liveRecordingFormat
    Indicates that the work is a live recording and specifies the format or medium in which that live performance was captured or released.
  • C. videoEncoding
    Indicates that one entity is used to encode, compress, or transform video data into a particular digital format or representation for another entity.
  • D. rawVideoFormats
    Indicates that an entity supports or is associated with one or more uncompressed or minimally processed (raw) video file formats.
  • E. videoStandard
    Indicates the video format or broadcasting standard that applies to a given video or recording.
  • F. None of above.

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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 29, 2026, 9:06 p.m.