Triple

T20456377
Position Surface form Disambiguated ID Type / Status
Subject RER Vaud E501798 entity
Predicate connects P390 FINISHED
Object Vevey NE NERFINISHED

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: [RER Vaud, connects, Vevey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vevey
Context triple: [RER Vaud, connects, 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. La Chaux
    La Chaux is a small French commune located in the Doubs department of the Bourgogne-Franche-Comté region in eastern France.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.