Triple
T11632654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glâne |
E276436
|
entity |
| Predicate | mouthOfWaterBody |
P3817
|
FINISHED |
| Object | Broye |
E52755
|
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: Broye | Statement: [Glâne, mouthOfWaterBody, Broye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broye Context triple: [Glâne, mouthOfWaterBody, Broye]
-
A.
Broye
chosen
Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
-
B.
Val de Bagnes
Val de Bagnes is a scenic alpine valley in the Swiss canton of Valais, known for its mountain landscapes, outdoor sports, and traditional villages including the resort area around Verbier.
-
C.
Vallée de l’Arve
Vallée de l’Arve is a valley in the French Alps known for its industrial towns and as a key route linking Geneva to the Mont Blanc region.
-
D.
Broye-Vully
Broye-Vully is an administrative district in the canton of Vaud in western Switzerland, known for its rural landscapes, agriculture, and wine-producing areas.
-
E.
Vallée de la Dranse
Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25aa9188190ab13d79139f37e7e |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13010e394819099b648db07f1193c |
completed | April 28, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:39 p.m.