Triple
T8182138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dent de Nendaz |
E191087
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Nendaz |
E482378
|
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: Nendaz | Statement: [Dent de Nendaz, hasViewOf, Nendaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nendaz Context triple: [Dent de Nendaz, hasViewOf, Nendaz]
-
A.
Nendaz
chosen
Nendaz is a Swiss Alpine resort village in the canton of Valais, known for its skiing, hiking, and access to the extensive 4 Vallées ski domain.
-
B.
Combloux
Combloux is a picturesque alpine village and ski resort in the Haute-Savoie department of southeastern France, known for its views of Mont Blanc.
-
C.
Crans-Montana
Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
-
D.
Dent de Nendaz
Dent de Nendaz is a mountain peak in the Swiss Pennine Alps overlooking the resort area of Nendaz in the canton of Valais.
-
E.
La Rosière
La Rosière is a French Alpine ski resort in the Savoie region, known for its sunny slopes and cross-border ski area linked with La Thuile in Italy.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef2b985888190a692f52cf5b93a80 |
completed | April 2, 2026, 10:50 p.m. |
Created at: March 30, 2026, 5:40 p.m.