Triple

T28944926
Position Surface form Disambiguated ID Type / Status
Subject Van, Turkey E730552 entity
Predicate regionSpecialtyFood P17971 FINISHED
Object Van breakfast
Van breakfast is a famously lavish traditional morning feast from the Van region of Turkey, featuring a wide variety of local cheeses, breads, spreads, and hot dishes served together.
 E1842349 NE FINISHED

How this triple was built (3 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: Van breakfast | Statement: [Van, Turkey, regionSpecialtyFood, Van breakfast]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Van breakfast
Triple: [Van, Turkey, regionSpecialtyFood, Van breakfast]
Generated description
Van breakfast is a famously lavish traditional morning feast from the Van region of Turkey, featuring a wide variety of local cheeses, breads, spreads, and hot dishes served together.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: regionSpecialtyFood
Context triple: [Van, Turkey, regionSpecialtyFood, Van breakfast]
  • A. hasSpecialtyFood chosen
    Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
  • B. regionOfCulinaryImportance
    Indicates that a location is recognized for its significant culinary relevance, such as notable food traditions, specialties, or gastronomic culture.
  • C. foodCulture
    Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
  • D. includesRegionalCuisine
    Indicates that one entity incorporates or features the regional cuisine associated with another entity.
  • E. regionSpecialization
    Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
  • F. None of above.

Provenance (6 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_69f043ea0aa88190a25acbf46157995a completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec47e9088190b2513ab7d68f3b9d completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f07e3a54819090dc0d92cee92204 completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f56a17a48190a309ea59a2ebf4d1 completed June 7, 2026, 4:36 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
Created at: April 28, 2026, 8:39 a.m.