Triple
T15199966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendée |
E363241
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | River Vendée |
E611269
|
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: River Vendée | Statement: [Vendée, namedAfter, River Vendée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Vendée Context triple: [Vendée, namedAfter, River Vendée]
-
A.
Vendée River
chosen
The Vendée River is a waterway in western France that flows through the Vendée department and lends its name to the region.
-
B.
Santoire River
The Santoire River is a watercourse in south-central France that flows through the Cantal region, collecting runoff from the surrounding mountainous terrain.
-
C.
Sarthe River
The Sarthe River is a waterway in western France that flows through the regions of Normandy and Pays de la Loire before joining other rivers to form the Maine.
-
D.
Sèvre Niortaise river
The Sèvre Niortaise river is a waterway in western France that flows through the Marais Poitevin wetlands before emptying into the Atlantic Ocean.
-
E.
Charentonne River
The Charentonne River is a watercourse in northern France that flows through the town of Bernay and contributes to the region’s rural and historical landscape.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb590b5cc8190b5f586e0fd2988f6 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 3:10 a.m.