Triple
T20974009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moûtiers |
E516575
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Brides-les-Bains |
—
|
NE NERFINISHED |
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: Brides-les-Bains | Statement: [Moûtiers, locatedNear, Brides-les-Bains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brides-les-Bains Context triple: [Moûtiers, locatedNear, Brides-les-Bains]
-
A.
Brides-les-Bains
chosen
Brides-les-Bains is a spa and ski resort village in the Savoie department of southeastern France, known for its thermal baths and proximity to the Three Valleys ski area.
-
B.
Balaruc-les-Bains
Balaruc-les-Bains is a French spa town on the Mediterranean coast renowned for its thermal baths and proximity to the Étang de Thau lagoon.
-
C.
Enghien-les-Bains
Enghien-les-Bains is a spa and resort town in the northern suburbs of Paris, France, known for its thermal baths and lakeside casino.
-
D.
Cambo-les-Bains
Cambo-les-Bains is a spa town in southwestern France’s Basque Country, known for its thermal baths and as a retreat for artists and notable cultural figures.
-
E.
Brignogan-Plages
Brignogan-Plages is a coastal commune in northwestern France known for its sandy beaches and rugged Breton shoreline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba2406c8190bd75dec585c14bfa |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:45 p.m.