Triple

T929951
Position Surface form Disambiguated ID Type / Status
Subject Jetée des Eaux-Vives E20067 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: [Jetée des Eaux-Vives, hasViewOf, Jet d'Eau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet d'Eau
Context triple: [Jetée des Eaux-Vives, 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. 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.
  • C. Vallée de Gavarnie
    Vallée de Gavarnie is a renowned glacial valley in the French Pyrenees, famous for its dramatic cirque, towering cliffs, and spectacular waterfalls.
  • D. Serre-Ponçon Dam
    Serre-Ponçon Dam is a large hydroelectric and irrigation dam in southeastern France that creates one of Western Europe’s biggest artificial lakes.
  • E. Bissone
    Bissone is a small Swiss municipality on the shores of Lake Lugano in the canton of Ticino, known for its picturesque lakeside setting and historic village center.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b349b3d0819090c58b4fb60c6a1b completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cd3444881908615a7962b4eef67 completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:40 p.m.