Triple

T2417973
Position Surface form Disambiguated ID Type / Status
Subject Daisy Miller E52350 entity
Predicate settingLocation P40 FINISHED
Object Vevey, Switzerland E52386 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: Vevey, Switzerland | Statement: [Daisy Miller, settingLocation, Vevey, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vevey, Switzerland
Context triple: [Daisy Miller, settingLocation, Vevey, Switzerland]
  • A. Valais, Switzerland
    Valais, Switzerland is a mountainous canton in southwestern Switzerland known for its Alpine peaks, glaciers, vineyards, and the upper Rhône Valley.
  • B. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • C. Vevey chosen
    Vevey is a picturesque Swiss town in the canton of Vaud, known for its lakeside setting, association with Charlie Chaplin, and role as the headquarters of Nestlé.
  • D. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • E. Lausanne, Switzerland
    Lausanne, Switzerland is a picturesque city on the shores of Lake Geneva known for its role as an Olympic capital and its vibrant cultural and academic life.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc950516c8190989591673de6b1f7 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf32014c8190aa3cfea010c3bb39 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:42 p.m.