Triple

T2426119
Position Surface form Disambiguated ID Type / Status
Subject Genthod E53529 entity
Predicate borderedBy P224 FINISHED
Object Cologny E70807 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: Cologny | Statement: [Genthod, borderedBy, Cologny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cologny
Context triple: [Genthod, borderedBy, Cologny]
  • A. Cologny chosen
    Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
  • B. 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.
  • C. Coppet
    Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
  • 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. Hermance
    Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.