Triple

T28649329
Position Surface form Disambiguated ID Type / Status
Subject Walthamstow Market E725146 entity
Predicate foodDiversity P45120 FINISHED
Object Caribbean food 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: Caribbean food | Statement: [Walthamstow Market, foodDiversity, Caribbean food]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foodDiversity
Context triple: [Walthamstow Market, foodDiversity, Caribbean food]
  • A. foodCulture
    Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
  • B. regionOfCulinaryImportance chosen
    Indicates that a location is recognized for its significant culinary relevance, such as notable food traditions, specialties, or gastronomic culture.
  • C. foodSources
    Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
  • D. haveDistinctCulinaryTraditions
    Indicates that the related entities possess different and distinguishable culinary practices, cuisines, or food-related customs from one another.
  • E. traditionalFoodBase
    Indicates that one entity serves as the primary ingredient, staple, or foundational component of a traditional food associated with another entity.
  • 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_69f01d8423888190bd2f4e52605bf261 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651ac855481908e30c3b345d31356 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 4:51 a.m.