Triple
T21733412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberhalbstein |
E536462
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Savognin |
—
|
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: Savognin | Statement: [Oberhalbstein, hasSettlement, Savognin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savognin Context triple: [Oberhalbstein, hasSettlement, Savognin]
-
A.
Savognin
chosen
Savognin is a Swiss mountain village and ski resort in the canton of Graubünden, known for its alpine scenery and outdoor recreation.
-
B.
Grisons
Grisons is the largest and easternmost canton of Switzerland, known for its mountainous Alpine landscapes and multilingual culture (German, Romansh, and Italian).
-
C.
Lia Rumantscha
Lia Rumantscha is the main organization dedicated to promoting, standardizing, and preserving the Romansh language in Switzerland.
-
D.
Luzech
Luzech is a commune in southwestern France known for its scenic location on a tight meander of the Lot River and its surrounding vineyards and historic sites.
-
E.
Glarus
Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd09852c8190b3486c09f22ef92b |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.