Triple

T6704853
Position Surface form Disambiguated ID Type / Status
Subject Ansbach region E152973 entity
Predicate traditionalCuisineRegionOf P45120 FINISHED
Object Franconian 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: Franconian cuisine | Statement: [Ansbach region, traditionalCuisineRegionOf, Franconian cuisine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalCuisineRegionOf
Context triple: [Ansbach region, traditionalCuisineRegionOf, Franconian 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. regionOfCulinaryImportance chosen
    Indicates that a location is recognized for its significant culinary relevance, such as notable food traditions, specialties, or gastronomic culture.
  • C. traditionallyFoundIn
    Indicates that something is customarily or historically located, used, or present within a particular place, context, or setting.
  • D. culturalRegion
    Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69c6d089c7488190a00853fb12f53b2a completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:06 p.m.