Triple

T11832870
Position Surface form Disambiguated ID Type / Status
Subject Swiss Italians E281436 entity
Predicate traditionalCuisineRelatedTo P89569 FINISHED
Object Italian cuisine 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: Italian cuisine | Statement: [Swiss Italians, traditionalCuisineRelatedTo, Italian cuisine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalCuisineRelatedTo
Context triple: [Swiss Italians, traditionalCuisineRelatedTo, Italian cuisine]
  • A. 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.
  • 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
    Indicates that the object is a dish customarily prepared, eaten, or recognized within the subject’s cultural or regional tradition.
  • D. foodCulture chosen
    Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
  • E. cuisineType
    Indicates the type or style of food associated with an entity, such as a restaurant or dish.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.