Triple

T23391958
Position Surface form Disambiguated ID Type / Status
Subject Yokote Kamakura Snow Festival E594041 entity
Predicate traditionalFoodServed P19483 FINISHED
Object amazake 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: amazake | Statement: [Yokote Kamakura Snow Festival, traditionalFoodServed, amazake]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalFoodServed
Context triple: [Yokote Kamakura Snow Festival, traditionalFoodServed, amazake]
  • A. traditionallyServed
    Indicates that one entity is customarily or conventionally presented, offered, or consumed together with another entity.
  • B. traditionalFoodBase
    Indicates that one entity serves as the primary ingredient, staple, or foundational component of a traditional food associated with another entity.
  • C. traditionalDish chosen
    Indicates that the object is a dish customarily prepared, eaten, or recognized within the subject’s cultural or regional tradition.
  • D. isTypicallyServedFor
    Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
  • E. traditionalCuisine
    Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49ca5a0819091b74ca59e7fedd4 completed April 29, 2026, 6:26 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:36 p.m.