Triple

T21334546
Position Surface form Disambiguated ID Type / Status
Subject Lausanne District E526005 entity
Predicate contains P35 FINISHED
Object Renens 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: Renens | Statement: [Lausanne District, contains, Renens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renens
Context triple: [Lausanne District, contains, Renens]
  • A. Renens chosen
    Renens is a municipality in the canton of Vaud in western Switzerland, forming part of the Lausanne urban area.
  • 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. Val-de-Ruz
    Val-de-Ruz is a municipality and valley region in the canton of Neuchâtel in western Switzerland, known for its rural landscapes and proximity to the Jura Mountains.
  • D. Collonge-Bellerive
    Collonge-Bellerive is a lakeside municipality in western Switzerland known for its residential character and location on the southern shore of Lake Geneva.
  • E. Corseaux
    Corseaux is a small Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its scenic setting and residential character.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d602c08190821c63e0aff42fc2 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.