Triple

T3498142
Position Surface form Disambiguated ID Type / Status
Subject Alpes-Maritimes E73900 entity
Predicate containsCity P294 FINISHED
Object Mandelieu-la-Napoule E268753 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: Mandelieu-la-Napoule | Statement: [Alpes-Maritimes, containsCity, Mandelieu-la-Napoule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandelieu-la-Napoule
Context triple: [Alpes-Maritimes, containsCity, Mandelieu-la-Napoule]
  • A. Mandelieu-la-Napoule chosen
    Mandelieu-la-Napoule is a coastal resort town on the French Riviera in southeastern France, known for its beaches, marina, and proximity to Cannes.
  • B. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • C. 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.
  • D. Juan-les-Pins
    Juan-les-Pins is a seaside resort town on the French Riviera, known for its beaches, nightlife, and jazz festival.
  • E. Aubagne
    Aubagne is a town in southern France near Marseille, known as the home base of the French Foreign Legion and for its Provençal culture and ceramics.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb808e7f94819086fbad85d6aed33e completed March 19, 2026, 4:50 a.m.
Created at: March 8, 2026, 3:18 p.m.