Triple

T15210334
Position Surface form Disambiguated ID Type / Status
Subject Cap-d’Ail E363496 entity
Predicate partOf P40 FINISHED
Object Côte d’Azur E73737 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: Côte d’Azur | Statement: [Cap-d’Ail, partOf, Côte d’Azur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Côte d’Azur
Context triple: [Cap-d’Ail, partOf, Côte d’Azur]
  • A. French Riviera chosen
    The French Riviera is a glamorous Mediterranean coastline in southeastern France renowned for its sunny climate, beaches, luxury resorts, and vibrant artistic and cultural heritage.
  • B. Roc d’Azur
    Roc d’Azur is a major annual mountain biking festival and race event held in France, attracting thousands of amateur and professional cyclists from around the world.
  • C. French Mediterranean coast
    The French Mediterranean coast is a renowned stretch of shoreline along France’s southern border, famous for its sunny climate, beaches, and resort towns such as those on the French Riviera and in Provence.
  • D. Provence
    Provence is a historic region in southeastern France known for its picturesque lavender fields, Mediterranean coastline, and rich cultural and culinary traditions.
  • E. Riviera region
    The Riviera region is a picturesque area along the northeastern shore of Lake Geneva in Switzerland, known for its mild climate, lakeside resorts, and scenic Alpine backdrop.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076ad4ec81908d36f541fca08d72 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e9e2d8819086ca62ca6037dd1c completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:11 a.m.