Triple

T15944185
Position Surface form Disambiguated ID Type / Status
Subject Commune of Corseaux E386642 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Vevey 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 | Statement: [Commune of Corseaux, neighboringMunicipality, Vevey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vevey
Context triple: [Commune of Corseaux, neighboringMunicipality, Vevey]
  • A. 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.
  • B. Broye-Vully
    Broye-Vully is an administrative district in the canton of Vaud in western Switzerland, known for its rural landscapes, agriculture, and wine-producing areas.
  • C. Côtes de Genève
    Côtes de Genève is a traditional decorative finishing technique used in Swiss watchmaking, characterized by parallel wave-like stripes engraved on movement components.
  • D. Courtelary
    Courtelary is a small municipality in the canton of Bern, Switzerland, known for its role as an administrative center in the Jura Bernois region.
  • E. Murten
    Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d016588190ae368197dfa7d43a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.