Triple

T162964
Position Surface form Disambiguated ID Type / Status
Subject Jet d'Eau E2949 entity
Predicate location P40 FINISHED
Object Canton of Geneva E4408 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: Canton of Geneva | Statement: [Jet d'Eau, location, Canton of Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canton of Geneva
Context triple: [Jet d'Eau, location, Canton of Geneva]
  • A. canton of Geneva chosen
    The canton of Geneva is the westernmost Swiss canton, encompassing the city of Geneva and serving as a major international, diplomatic, and financial hub.
  • B. Geneva metropolitan area
    The Geneva metropolitan area is the cross-border urban region centered on the city of Geneva, spanning parts of Switzerland and France and functioning as a major international, financial, and diplomatic hub.
  • C. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • D. Canton of Valais
    The Canton of Valais is a mountainous region in southwestern Switzerland known for its Alpine landscapes, vineyards, and major ski resorts such as Zermatt and Verbier.
  • E. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a2585a1a6481908899ad51211950e8 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a405ef40248190b81d461f3b6d4baa completed March 1, 2026, 9:25 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.