Triple
T18341050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont Vieux of Orthez |
E439400
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Gave de Pau 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: Gave de Pau river | Statement: [Pont Vieux of Orthez, crosses, Gave de Pau river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gave de Pau river Context triple: [Pont Vieux of Orthez, crosses, Gave de Pau river]
-
A.
Gave de Pau River
chosen
The Gave de Pau River is a river in southwestern France that flows through the Pyrenees and the city of Pau before joining the Adour.
-
B.
Aude River
The Aude River is a major river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
-
C.
Arroux River
The Arroux River is a waterway in central France that flows through the Burgundy region, including the historic town of Autun, before joining the Loire River.
-
D.
Têt River
The Têt River is a coastal river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
-
E.
Truyère River
The Truyère River is a major tributary of the Lot in southern France, known for its deep gorges, hydroelectric dams, and scenic course through the rugged landscapes of the Massif Central.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed146fc819092b08cb91defb03b |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.