Triple
T11902989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grisons |
E283201
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lenzerheide |
E788530
|
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: Lenzerheide | Statement: [Grisons, contains, Lenzerheide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenzerheide Context triple: [Grisons, contains, Lenzerheide]
-
A.
Lenzerheide
chosen
Lenzerheide is a Swiss alpine resort village known for its skiing, mountain biking, and scenic lakeside setting in the eastern Alps.
-
B.
Klosters
Klosters is a renowned Swiss Alpine village and ski resort in the canton of Graubünden, popular for its picturesque scenery and winter sports.
-
C.
Ischgl
Ischgl is a popular Austrian ski resort town in the Paznaun Valley, renowned for its extensive slopes and lively après-ski scene.
-
D.
Arosa
Arosa is a Swiss alpine resort town in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
-
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 (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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4587d1e548190b741a11d2ef63595 |
completed | May 1, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:44 p.m.