Triple
T879837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Blanc massif |
E19000
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Courmayeur |
E13526
|
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: Courmayeur | Statement: [Mont Blanc massif, near, Courmayeur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courmayeur Context triple: [Mont Blanc massif, near, Courmayeur]
-
A.
Courmayeur
chosen
Courmayeur is a renowned Italian Alpine resort town in the Aosta Valley, famous for skiing, mountaineering, and its proximity to the Mont Blanc massif.
-
B.
Chamonix
Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
-
C.
Bourg-Saint-Maurice
Bourg-Saint-Maurice is a French Alpine town in the Savoie department, known as a gateway to major ski resorts such as Les Arcs in the Graian Alps.
-
D.
Zermatt
Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
-
E.
Chambéry
Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac598e6ccc8190b0d75d36036f5e42 |
completed | March 7, 2026, 4:59 p.m. |
Created at: March 1, 2026, 7:39 p.m.