Triple

T10290751
Position Surface form Disambiguated ID Type / Status
Subject Kartveli Ebraelebi E241354 entity
Predicate hasCuisineInfluencedBy P39848 FINISHED
Object Georgian 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: Georgian cuisine | Statement: [Kartveli Ebraelebi, hasCuisineInfluencedBy, Georgian cuisine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCuisineInfluencedBy
Context triple: [Kartveli Ebraelebi, hasCuisineInfluencedBy, Georgian cuisine]
  • A. cuisineInfluence chosen
    Indicates that one cuisine has had a notable impact on the development, style, or characteristics of another cuisine.
  • B. hasEthnicInfluence
    Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
  • C. hasHistoricalInfluenceFrom
    Indicates that one entity’s characteristics, development, or significance have been shaped or affected by the past actions, ideas, or legacy of another entity.
  • D. haveCuisine
    Indicates that an entity (such as a restaurant or place) offers, serves, or is associated with a particular type or style of cuisine.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f117708190928f92ae2611d724 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:41 a.m.