Triple

T11732698
Position Surface form Disambiguated ID Type / Status
Subject Saint-Prex E278937 entity
Predicate hasRegion P285 FINISHED
Object La Côte E367062 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: La Côte | Statement: [Saint-Prex, hasRegion, La Côte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Côte
Context triple: [Saint-Prex, hasRegion, La Côte]
  • A. La Côte chosen
    La Côte is a wine-producing region along the northern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its picturesque vineyards and small towns.
  • B. Riviera
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • C. Les Petites Côtes
    Les Petites Côtes is the original French name given by early European settlers to the area that later became St. Charles, Missouri.
  • D. The Riviera
    The Riviera is an affluent residential neighborhood in Los Angeles’ Pacific Palisades known for its luxury homes, exclusive country club, and proximity to the Santa Monica Mountains and Pacific Ocean.
  • E. Côte Blonde
    Côte Blonde is a renowned, lighter-styled subzone of France’s Côte-Rôtie appellation, celebrated for its elegant, aromatic Syrah-based wines often blended with a small proportion of Viognier.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8406fe8881909722ecb040087e68 completed April 27, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:41 p.m.