Triple

T1234337
Position Surface form Disambiguated ID Type / Status
Subject Palais des Festivals et des Congrès E26511 entity
Predicate locatedOn P40 FINISHED
Object French Riviera 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: French Riviera | Statement: [Palais des Festivals et des Congrès, locatedOn, French Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Riviera
Context triple: [Palais des Festivals et des Congrès, locatedOn, French Riviera]
  • 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. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • D. Romandie
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • E. Southern France
    Southern France is a culturally rich and geographically diverse region known for its Mediterranean coastline, historic cities, and renowned cuisine and wine.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a16badc8190b5b603db0ca738cb completed March 7, 2026, 8:27 p.m.
Created at: March 1, 2026, 7:47 p.m.