Triple
T14288350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Plagne |
E354237
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Moutiers |
E1050133
|
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: Moutiers | Statement: [La Plagne, nearestCity, Moutiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moutiers Context triple: [La Plagne, nearestCity, Moutiers]
-
A.
Moutiers
chosen
Moutiers is a town in the Savoie department of southeastern France, known as a gateway to nearby Alpine ski resorts.
-
B.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
C.
Moutier
Moutier is a small town in the canton of Bern in northwestern Switzerland, known for its industrial heritage and location in the Jura mountains.
-
D.
Bourg-Saint-Pierre
Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
-
E.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5c11708190a7fd4c0682b6ed81 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 1:11 a.m.