Triple
T2675063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monts Dore |
E56438
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | La Bourboule |
E147859
|
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 Bourboule | Statement: [Monts Dore, near, La Bourboule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bourboule Context triple: [Monts Dore, near, La Bourboule]
-
A.
La Bourboule
chosen
La Bourboule is a spa and tourist town in central France, known for its thermal baths and Belle Époque architecture in the Massif Central.
-
B.
La Sablonière
La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
-
C.
La Moisson
La Moisson is a painting by French Post-Impressionist artist Émile Bernard, exemplifying his early synthetist style and interest in rural, agrarian themes.
-
D.
Le Reculet
Le Reculet is one of the highest summits in eastern France, known for its panoramic views over the surrounding Jura range and the Alps.
-
E.
Moulin-à-Vent
Moulin-à-Vent is a renowned French appellation in the Beaujolais region known for producing some of its most structured, age-worthy red wines, primarily from the Gamay grape.
- 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_69afa0638a9c8190b48ca5aa56eb66ff |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.