Triple

T808767
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Saverin E17495 entity
Predicate marriagePlace P128 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: [Eduardo Saverin, marriagePlace, French Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Riviera
Context triple: [Eduardo Saverin, marriagePlace, 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab256cbc8190bf75b5d5e35ff0aa completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84122cc81909b12b69e27d50008 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:38 p.m.