Triple

T268692
Position Surface form Disambiguated ID Type / Status
Subject Cravings: Recipes for All the Food You Want to Eat E5576 entity
Predicate featuresCuisine P6863 FINISHED
Object American 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: American cuisine | Statement: [Cravings: Recipes for All the Food You Want to Eat, featuresCuisine, American cuisine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresCuisine
Context triple: [Cravings: Recipes for All the Food You Want to Eat, featuresCuisine, American cuisine]
  • A. cuisineType
    Indicates the type or style of food associated with an entity, such as a restaurant or dish.
  • B. cuisine chosen
    Indicates the type or style of food traditionally associated with or served by an entity (such as a restaurant or region).
  • C. 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.
  • D. foodCustom
    Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
  • E. typicalFeatures
    Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dae4a0c8190a66cf6ed3889851c completed Feb. 28, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69a25b70d99c819085d8381a313a2a34 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.