Triple

T17472187
Position Surface form Disambiguated ID Type / Status
Subject Tourrettes-sur-Loup E425444 entity
Predicate locatedNorthOf P305 FINISHED
Object Cagnes-sur-Mer NE NERFINISHED

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: Cagnes-sur-Mer | Statement: [Tourrettes-sur-Loup, locatedNorthOf, Cagnes-sur-Mer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cagnes-sur-Mer
Context triple: [Tourrettes-sur-Loup, locatedNorthOf, Cagnes-sur-Mer]
  • A. Cagnes-sur-Mer chosen
    Cagnes-sur-Mer is a coastal town on the French Riviera in southeastern France, known for its Mediterranean beaches and historic hilltop village.
  • B. Le Cannet-des-Maures
    Le Cannet-des-Maures is a commune in the Var department of southeastern France, known for its Provençal landscapes, vineyards, and location near the Maures mountain range.
  • C. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • D. Villefranche-sur-Mer
    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.
  • E. Antibes
    Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451b8a51081908d94bebe2417e3d3 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.