Triple

T14550982
Position Surface form Disambiguated ID Type / Status
Subject Conseil municipal de Lancy E341415 entity
Predicate seat P75 FINISHED
Object Lancy E68579 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: Lancy | Statement: [Conseil municipal de Lancy, seat, Lancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancy
Context triple: [Conseil municipal de Lancy, seat, Lancy]
  • A. Lancy chosen
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • B. Fleurissant
    Fleurissant was the early French colonial settlement that later developed into the modern city of Florissant, Missouri.
  • 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. Bossey
    Bossey is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, located near the Swiss border south of Geneva.
  • E. Vandoeuvres
    Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db810c481908dde925ff90f3fa0 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:23 a.m.