Triple

T16314685
Position Surface form Disambiguated ID Type / Status
Subject Nice metropolitan area E396143 entity
Predicate contains P35 FINISHED
Object Beaulieu-sur-Mer E363494 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: Beaulieu-sur-Mer | Statement: [Nice metropolitan area, contains, Beaulieu-sur-Mer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaulieu-sur-Mer
Context triple: [Nice metropolitan area, contains, Beaulieu-sur-Mer]
  • A. Beaulieu-sur-Mer chosen
    Beaulieu-sur-Mer is an upscale seaside resort town on the French Riviera known for its mild climate, Belle Époque architecture, and picturesque Mediterranean coastline.
  • B. Luc-sur-Mer
    Luc-sur-Mer is a coastal commune in northwestern France, situated on the English Channel in the Normandy region.
  • C. Dives-sur-Mer
    Dives-sur-Mer is a coastal commune in northwestern France, known for its historic harbor linked to William the Conqueror’s 1066 expedition to England.
  • D. Fos-sur-Mer
    Fos-sur-Mer is a coastal industrial town in southern France known for its large port facilities and heavy industry along the Mediterranean.
  • E. Camaret-sur-Mer
    Camaret-sur-Mer is a coastal commune and former fishing port in Brittany, France, known for its scenic harbor, maritime heritage, and dramatic cliffs along the Atlantic.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288de57cc81908cec93309347c385 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da444408190b770055d84060f4d completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.