Triple
T21284971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gave de Pau |
E524631
|
entity |
| Predicate | mouthOfWaterBody |
P3817
|
FINISHED |
| Object | Adour |
—
|
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: Adour | Statement: [Gave de Pau, mouthOfWaterBody, Adour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adour Context triple: [Gave de Pau, mouthOfWaterBody, Adour]
-
A.
Adour
chosen
Adour is a major river in southwestern France that flows from the Pyrenees to the Atlantic Ocean, passing through cities such as Tarbes and Bayonne.
-
B.
Garonne
The Garonne is a major river in southwestern Europe that flows from the Spanish Pyrenees through cities like Toulouse and Bordeaux before reaching the Atlantic Ocean via the Gironde estuary.
-
C.
L’Agly
L’Agly is a coastal river in southern France that flows through the Pyrénées-Orientales and Aude departments before emptying into the Mediterranean Sea.
-
D.
Aude River
The Aude River is a major river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
-
E.
Ariège River
The Ariège River is a river in southwestern France that flows through the Pyrenees and the town of Foix before joining the Garonne.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d4e7f881909c2cc7936a66b79d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.