Triple
T15019498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura bernois |
E378045
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Prêles |
E986756
|
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: Prêles | Statement: [Jura bernois, contains, Prêles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prêles Context triple: [Jura bernois, contains, Prêles]
-
A.
Prêles
chosen
Prêles is a village in the canton of Bern, Switzerland, situated on a plateau above Lake Biel and known as the upper terminus of the Ligerz–Prêles funicular railway.
-
B.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
C.
Sambreville
Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
-
D.
Puygros
Puygros is a small French village located in the Alpine foothills within the Massif des Bauges region of southeastern France.
-
E.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96af719881909906adfd6cb508aa |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:56 a.m.