Triple
T12838640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Alps |
E306984
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object | Serre Chevalier |
E925226
|
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: Serre Chevalier | Statement: [French Alps, hasResort, Serre Chevalier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serre Chevalier Context triple: [French Alps, hasResort, Serre Chevalier]
-
A.
Serre Chevalier
chosen
Serre Chevalier is a major ski resort in the French Alps known for its extensive slopes, sunny climate, and traditional mountain villages.
-
B.
Cime du Gélas
Cime du Gélas is a prominent alpine peak in the Maritime Alps on the French-Italian border, known for its rugged terrain and glaciated summit.
-
C.
Marin-Epagnier
Marin-Epagnier is a locality in the canton of Neuchâtel in western Switzerland, situated near Lake Neuchâtel and integrated into the municipality of La Tène.
-
D.
Val-Cenis
Val-Cenis is a French Alpine commune and ski resort area in the Savoie department, known for its mountain landscapes and winter sports tourism.
-
E.
Mont Salève
Mont Salève is a prominent limestone mountain in the French Prealps near Geneva, popular for hiking, climbing, and panoramic views over the city and Lake Geneva.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f72e950819082326a8f84a8a260 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 5:35 p.m.