Triple

T32627421
Position Surface form Disambiguated ID Type / Status
Subject Russia (Buryatia, Kalmykia, Tuva) E834094 entity
Predicate sharesCuisineFeatures P45241 FINISHED
Object mutton-based dishes 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: mutton-based dishes | Statement: [Russia (Buryatia, Kalmykia, Tuva), sharesCuisineFeatures, mutton-based dishes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesCuisineFeatures
Context triple: [Russia (Buryatia, Kalmykia, Tuva), sharesCuisineFeatures, mutton-based dishes]
  • A. sharesCuisineWith chosen
    Indicates that two entities offer or are associated with the same type or style of cuisine.
  • B. cuisineFeature
    Indicates a characteristic, quality, or notable aspect that describes or distinguishes a particular cuisine.
  • C. foodCulture
    Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
  • D. 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.
  • E. haveDistinctCulinaryTraditions
    Indicates that the related entities possess different and distinguishable culinary practices, cuisines, or food-related customs from one another.
  • 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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff6fba1a5c8190a660279a6271d785 completed May 9, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ff6f59388c8190a7d6ab7bc7705bc0 completed May 9, 2026, 5:31 p.m.
Created at: May 1, 2026, 1:06 a.m.