Triple
T2675077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monts Dore |
E56438
|
entity |
| Predicate | notableTown |
P14082
|
FINISHED |
| Object | Le Mont-Dore |
E169127
|
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: Le Mont-Dore | Statement: [Monts Dore, notableTown, Le Mont-Dore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Mont-Dore Context triple: [Monts Dore, notableTown, Le Mont-Dore]
-
A.
Mont-Dore
chosen
Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
-
B.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
-
C.
Grands Montets
Grands Montets is a renowned high-altitude ski area in the French Alps, famous for its challenging off-piste terrain and dramatic views of the Mont Blanc massif.
-
D.
Mont du Chat
Mont du Chat is a mountain in the French Alps overlooking Lake Bourget, known for its steep climbs and scenic views popular with cyclists and hikers.
-
E.
Dent d'Hérens
Dent d'Hérens is a prominent alpine peak on the Swiss-Italian border, located near the Matterhorn in the Pennine Alps.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b3530c819093942cc985f814ef |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6775b008190a59e480516c3ef41 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:54 p.m.