Triple

T36067218
Position Surface form Disambiguated ID Type / Status
Subject Vimoutiers E1043265 entity
Predicate localSpeciality P17971 FINISHED
Object Norman cheeses 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: Norman cheeses | Statement: [Vimoutiers, localSpeciality, Norman cheeses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localSpeciality
Context triple: [Vimoutiers, localSpeciality, Norman cheeses]
  • A. hasSpecialtyFood chosen
    Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
  • B. foodCulture
    Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
  • C. regionOfCulinaryImportance
    Indicates that a location is recognized for its significant culinary relevance, such as notable food traditions, specialties, or gastronomic culture.
  • D. cuisineFeature
    Indicates a characteristic, quality, or notable aspect that describes or distinguishes a particular cuisine.
  • E. isNationalDishOf
    Indicates that a particular food is officially or culturally recognized as the national dish of a specific country or region.
  • 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_69f76e2fd3248190b900d9a492bf5a7a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:08 p.m.