Triple
T17253712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aravis ski area |
E418825
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object | La Clusaz |
E88263
|
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: La Clusaz | Statement: [Aravis ski area, hasResort, La Clusaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Clusaz Context triple: [Aravis ski area, hasResort, La Clusaz]
-
A.
La Clusaz
chosen
La Clusaz is a well-known French Alpine village and ski resort renowned for its extensive slopes and traditional mountain charm.
-
B.
Avoriaz
Avoriaz is a purpose-built, car-free ski resort in the French Alps, known for its modern architecture and central position in the vast Portes du Soleil ski area.
-
C.
Tignes
Tignes is a high-altitude ski resort and alpine commune in the French Alps, renowned for its extensive ski area and year-round glacier skiing.
-
D.
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.
-
E.
Val-d’Isère
Val-d’Isère is a renowned French Alpine ski resort village famous for its extensive slopes and role as a host venue for major international skiing competitions.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6b2b1c8190b446ce648ecaad80 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017942ae108190ac6ec61514ba58b4 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.