Triple

T401305
Position Surface form Disambiguated ID Type / Status
Subject Vernier E9287 entity
Predicate hasNeighboringMunicipality P224 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: [Vernier, hasNeighboringMunicipality, Lancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancy
Context triple: [Vernier, hasNeighboringMunicipality, Lancy]
  • A. Lancy chosen
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • B. Vandoeuvres
    Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
  • C. Chêne-Bougeries
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • D. Le Grand-Saconnex
    Le Grand-Saconnex is a municipality in the Geneva metropolitan area of Switzerland, known for hosting parts of the Geneva International Airport and several international organizations.
  • E. Plan-les-Ouates
    Plan-les-Ouates is a municipality in western Switzerland known for its watchmaking and high-tech industries within the canton of Geneva.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6a44a081908b412cd0f889b5e9 completed March 2, 2026, 1:02 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.