Triple
T6916635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva waterfront |
E160070
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Jet d’Eau fountain |
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 fountain | Statement: [Geneva waterfront, knownFor, Jet d’Eau fountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet d’Eau fountain Context triple: [Geneva waterfront, knownFor, Jet d’Eau fountain]
-
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.
Water Tower of Lucerne
The Water Tower of Lucerne is a medieval stone tower on the Reuss River that serves as one of Switzerland’s most iconic landmarks and a symbol of the city of Lucerne.
-
C.
Château d’Eau
Château d’Eau is a Paris Métro station in the 10th arrondissement, located near Gare de l’Est and serving the bustling Boulevard de Strasbourg area.
-
D.
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.
-
E.
Belvédère de Thonon
Belvédère de Thonon is a scenic viewpoint in Thonon-les-Bains, France, offering panoramic views over Lake Geneva and the surrounding Alps.
- 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_69c7512b39b081908370c43ed3d65829 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:26 p.m.