Triple
T7325229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quai du Mont-Blanc |
E168853
|
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: [Quai du Mont-Blanc, hasViewOf, Jet d'Eau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet d'Eau Context triple: [Quai du Mont-Blanc, 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.
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.
-
C.
Broye Canal
The Broye Canal is a man-made waterway in western Switzerland that connects Lake Murten to other regional lakes as part of the Jura water correction system.
-
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.
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.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0a1200819089fe3e18493d8bee |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.