Triple
T20016618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvretta Arena |
E494736
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Samnaun |
—
|
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: Samnaun | Statement: [Silvretta Arena, connectedTo, Samnaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samnaun Context triple: [Silvretta Arena, connectedTo, Samnaun]
-
A.
Samnaun
chosen
Samnaun is a Swiss alpine village and duty-free ski resort in the Engadin valley, known for its extensive cross-border ski area shared with the Austrian resort of Ischgl.
-
B.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
C.
Wyssachen
Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
-
D.
Buochs
Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
-
E.
Elbigenalp
Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623cb8188190b95913ffed895930 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.