Triple

T8553567
Position Surface form Disambiguated ID Type / Status
Subject Creole cuisine E202504 entity
Predicate hasCulturalInfluence P2008 FINISHED
Object French cuisine E237544 NE 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: French cuisine | Statement: [Creole cuisine, hasCulturalInfluence, French cuisine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French cuisine
Context triple: [Creole cuisine, hasCulturalInfluence, French cuisine]
  • A. French cuisine chosen
    French cuisine is a renowned culinary tradition characterized by its regional diversity, refined techniques, rich sauces, and emphasis on high-quality ingredients and wine.
  • B. Lu cuisine
    Lu cuisine is one of the Eight Great Traditions of Chinese cuisine, renowned for its fresh ingredients, savory flavors, and masterful use of soups and seafood.
  • C. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • D. Breton cuisine
    Breton cuisine is the traditional food culture of Brittany in northwestern France, renowned for its crêpes, galettes, seafood, and use of local dairy and buckwheat.
  • E. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8894e7c8190bc0ae2ceec473ecb completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dd67d288190a147562a99ecde56 completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.