Triple

T667503
Position Surface form Disambiguated ID Type / Status
Subject Nice Carnival E12897 entity
Predicate locatedInRegion 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: [Nice Carnival, locatedInRegion, French Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Riviera
Context triple: [Nice Carnival, locatedInRegion, 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. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • C. Romandie
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. Southern France
    Southern France is a culturally rich and geographically diverse region known for its Mediterranean coastline, historic cities, and renowned cuisine and wine.
  • E. Mougins
    Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff7ca788190bef58ce46849b9d0 completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39d11508190a3bd0f118d122e1a completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.