Triple

T13337483
Position Surface form Disambiguated ID Type / Status
Subject Cheung Chau E317733 entity
Predicate CheungChauBunFestivalFeature P96461 FINISHED
Object bun scrambling competition 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: bun scrambling competition | Statement: [Cheung Chau, CheungChauBunFestivalFeature, bun scrambling competition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: CheungChauBunFestivalFeature
Context triple: [Cheung Chau, CheungChauBunFestivalFeature, bun scrambling competition]
  • A. feastTraditionalName
    Indicates the traditional or customary name by which a particular feast or celebration is known.
  • B. bakatueFestivalHeldIn
    Indicates that a Bakatue Festival event takes place in a specific location or venue.
  • C. festivalFeature chosen
    Indicates that a festival includes or showcases a particular element, activity, or attraction as one of its features.
  • D. hokkienTeochewForm
    Indicates that one entity is the Hokkien/Teochew linguistic form or variant corresponding to another entity.
  • E. feastType
    Indicates the specific kind or category of feast associated with an event or occasion.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6e53d88190bd6aa42f69b10ffb completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:31 p.m.