Triple
T4699161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac de Serre-Ponçon |
E104223
|
entity |
| Predicate | formedByRiver |
P165
|
FINISHED |
| Object | Ubaye |
E175728
|
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: Ubaye | Statement: [Lac de Serre-Ponçon, formedByRiver, Ubaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubaye Context triple: [Lac de Serre-Ponçon, formedByRiver, Ubaye]
-
A.
Broye
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.
Morges River
The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
-
D.
Ubaye Valley
chosen
The Ubaye Valley is a scenic alpine valley in the French Alps known for its rugged mountain landscapes, outdoor sports, and traditional Provençal mountain villages.
-
E.
Arveyron River
The Arveyron River is a mountain stream in the French Alps that drains glaciers near Chamonix before joining the Arve River.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63b57e1c8190962d97e4805974ed |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67bb17e0819099a6d4f3ca54f616 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:17 p.m.