Triple

T1276062
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan France E27215 entity
Predicate contains P35 FINISHED
Object Brittany E28915 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: Brittany | Statement: [Metropolitan France, contains, Brittany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brittany
Context triple: [Metropolitan France, contains, Brittany]
  • A. Brittany chosen
    Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
  • B. Normandy
    Normandy is a historic region in northern France, famous for its medieval duchy, its role in the Norman Conquest of England, and as the site of the D-Day landings in World War II.
  • C. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • D. Saint Pierre and Miquelon (France)
    Saint Pierre and Miquelon (France) is a small French overseas territorial collectivity off the coast of Newfoundland, Canada, and the last remaining vestige of France’s former North American colonial empire.
  • E. Vendée
    Vendée is a department in western France known for its Atlantic coastline, rural landscapes, and historical role in the counter-revolutionary uprisings during the French Revolution.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c08ef32c8190a493c8215946e5dd completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc61df4b48190aa142f30026e6580 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:50 p.m.