Triple
T21833117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saas valley |
E539049
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Saas-Fee |
—
|
NE NERFINISHED |
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: Saas-Fee | Statement: [Saas valley, contains, Saas-Fee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saas-Fee Context triple: [Saas valley, contains, Saas-Fee]
-
A.
Saas-Fee
chosen
Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
-
B.
Davos Glaris
Davos Glaris is a small village and railway stop in the municipality of Davos in the Swiss canton of Graubünden, known as a quiet residential and transit point in the alpine region.
-
C.
Visp
Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
-
D.
Saas-Fee ski area
The Saas-Fee ski area is a high-altitude Swiss Alpine resort renowned for its extensive glacier skiing, reliable snow, and car-free village atmosphere.
-
E.
Wengen
Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.