Triple
T14155968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frauenkirch |
E350813
|
entity |
| Predicate | locatedInTourismRegion |
P32586
|
FINISHED |
| Object | Davos Klosters |
E714852
|
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: Davos Klosters | Statement: [Frauenkirch, locatedInTourismRegion, Davos Klosters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davos Klosters Context triple: [Frauenkirch, locatedInTourismRegion, Davos Klosters]
-
A.
Davos
Davos is a Swiss Alpine town best known internationally as the host of the World Economic Forum’s annual gathering of global political, business, and cultural leaders.
-
B.
Gstaad
Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
-
C.
St. Moritz
St. Moritz is a famous Swiss alpine resort town renowned for its luxury tourism, winter sports, and role as a two-time Winter Olympics host.
-
D.
Zermatt
Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
-
E.
Davos valley
chosen
Davos valley is a scenic alpine valley in the Swiss canton of Graubünden, known for the town of Davos, winter sports, and surrounding mountain landscapes.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193b72f48190b80ac30d32ab8349 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:58 a.m.