Triple
T13657854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Trois Vallées |
E326907
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Val Thorens village |
E483099
|
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: Val Thorens village | Statement: [Les Trois Vallées, hasVillage, Val Thorens village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Thorens village Context triple: [Les Trois Vallées, hasVillage, Val Thorens village]
-
A.
Val Thorens
chosen
Val Thorens is a high-altitude ski resort in the French Alps, renowned for its extensive slopes, reliable snow, and position within the vast Three Valleys ski area.
-
B.
Crans-Montana
Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
-
C.
Nendaz
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.
-
D.
Saint-Prex
Saint-Prex is a picturesque medieval town on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its historic old town and lakeside setting.
-
E.
Nyons
Nyons is a small town in southeastern France renowned for its olive production and picturesque setting in the Drôme Provençale 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794395618819094a7f0ffcf5d3fb6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:52 p.m.