Triple

T26729553
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Racecourse E673927 entity
Predicate hasVideoScreen P16010 FINISHED
Object yes 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: yes | Statement: [Tokyo Racecourse, hasVideoScreen, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVideoScreen
Context triple: [Tokyo Racecourse, hasVideoScreen, yes]
  • A. hasScreen
    Indicates that an entity is equipped with or includes a screen or display component.
  • B. hasVideoContent
    Indicates that an entity includes or is associated with video-based media as part of its content.
  • C. hasVideoBoard chosen
    Indicates that an entity is equipped with or includes a video board (graphics/display hardware component).
  • D. hasVideoRecording
    Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
  • E. supportsVideoPlayback
    Indicates that an entity is capable of playing or rendering video content.
  • 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_69eecda57ab481909424e98f2835e7d8 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f661b58ac48190907b6c6e9ccc2c59 completed May 2, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69f660eea4648190b0d5e24293607813 completed May 2, 2026, 8:39 p.m.
Created at: April 27, 2026, 3:44 a.m.