Triple

T6916615
Position Surface form Disambiguated ID Type / Status
Subject Geneva waterfront E160070 entity
Predicate hasViewOf P854 FINISHED
Object Jet d’Eau E2949 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: Jet d’Eau | Statement: [Geneva waterfront, hasViewOf, Jet d’Eau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet d’Eau
Context triple: [Geneva waterfront, hasViewOf, Jet d’Eau]
  • A. Jet d'Eau chosen
    Jet d'Eau is a famous large water fountain on Lake Geneva and one of the most iconic symbols of the city of Geneva, Switzerland.
  • B. Giessbach Falls
    Giessbach Falls is a spectacular multi-tiered waterfall in the Bernese Oberland region of Switzerland, cascading into Lake Brienz and accessible by historic funicular and hiking trails.
  • C. Saut du Doubs
    Saut du Doubs is a scenic waterfall on the French-Swiss border, renowned for its dramatic drop, surrounding cliffs, and popular boat and hiking excursions.
  • D. Vallée de la Dranse
    Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
  • E. Lake of Biel
    Lake of Biel is a scenic lake in western Switzerland’s Seeland region, known for its vineyards, islands, and role in the Jura water correction system.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e034cc81908f1e8f31b055e119 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7491589c08190982a84f2b61b497b completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:26 p.m.