Triple
T17853650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelonnette |
E445874
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Ubaye River |
—
|
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: Ubaye River | Statement: [Barcelonnette, river, Ubaye River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubaye River Context triple: [Barcelonnette, river, Ubaye River]
-
A.
Ubaye River
chosen
The Ubaye River is a mountain river in southeastern France that flows through the Alps and feeds into the Serre-Ponçon reservoir.
-
B.
Arveyron River
The Arveyron River is a mountain stream in the French Alps that drains glaciers near Chamonix before joining the Arve River.
-
C.
Morges River
The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
-
D.
Colagne River
The Colagne River is a small river in southern France that flows through the Lozère department, including the town of Marvejols, before joining the Lot River.
-
E.
Ouvèze River
The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49001d8b881908c8d4efc3d7ff04f |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.