Triple

T6758419
Position Surface form Disambiguated ID Type / Status
Subject Mont Boron E154523 entity
Predicate locatedNear P294 FINISHED
Object Villefranche-sur-Mer E444478 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: Villefranche-sur-Mer | Statement: [Mont Boron, locatedNear, Villefranche-sur-Mer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villefranche-sur-Mer
Context triple: [Mont Boron, locatedNear, Villefranche-sur-Mer]
  • A. Villefranche-sur-Mer chosen
    Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
  • B. Vieux-Nice
    Vieux-Nice is the historic old town of Nice, France, known for its narrow winding streets, colorful buildings, bustling markets, and vibrant Mediterranean atmosphere.
  • C. La Seyne-sur-Mer
    La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
  • D. Cagnes-sur-Mer
    Cagnes-sur-Mer is a coastal town on the French Riviera in southeastern France, known for its Mediterranean beaches and historic hilltop village.
  • E. La Ciotat
    La Ciotat is a coastal town on the Mediterranean in southern France, known for its historic shipyards and as one of the birthplaces of early cinema through the Lumière brothers’ pioneering films.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f90b6c8190b4a17a23aa9ba0fb completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75822dcec81908f8f6b8cf8c1ac09 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:11 p.m.