Triple
T16230593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernina Pass |
E393969
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Engadin |
E797169
|
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: Engadin | Statement: [Bernina Pass, region, Engadin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engadin Context triple: [Bernina Pass, region, Engadin]
-
A.
Engadin valley
chosen
The Engadin valley is a high Alpine valley region in southeastern Switzerland, renowned for its picturesque lakes, sunny climate, and famous resorts such as St. Moritz.
-
B.
Brienz
Brienz is a picturesque Swiss village in the Bernese Oberland, known for its lakeside setting on Lake Brienz and its traditional woodcarving craftsmanship.
-
C.
Lötschental
Lötschental is a remote alpine valley in the Swiss canton of Valais, known for its traditional wooden villages, dramatic mountain scenery, and well-preserved local customs.
-
D.
Albula Valley
Albula Valley is a picturesque alpine valley in the Swiss canton of Grisons, known for its dramatic mountain scenery, traditional villages, and the UNESCO-listed Albula railway line.
-
E.
Colagne valley
The Colagne valley is a scenic river valley in southern France known for its rural landscapes and small towns such as Marvejols.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29438c81909aa2724cc47bb959 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f740ec8190ab075c953e27cfba |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.