Triple
T16652896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvaplana |
E404651
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Samedan |
E515093
|
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: Samedan | Statement: [Silvaplana, neighboringMunicipality, Samedan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samedan Context triple: [Silvaplana, neighboringMunicipality, Samedan]
-
A.
Samedan
chosen
Samedan is a Swiss alpine town in the Upper Engadine region of the canton of Graubünden, known for its role as a transport hub and its proximity to major ski and tourist destinations.
-
B.
Breggia
Breggia is a river in the Lombardy region of northern Italy that flows through the province of Como before entering Switzerland.
-
C.
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.
-
D.
Sarner Aa
Sarner Aa is a river in central Switzerland that drains Lake Sarnen and flows through the canton of Obwalden before reaching Lake Lucerne.
-
E.
Rickenbach
Rickenbach is a locality that forms part of the municipality of Wolfurt in the Austrian state of Vorarlberg.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf861348190b2b0b5574d4ddb4f |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c4c6a08190874264b2840fc70d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.