Triple
T3840066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loire-Atlantique |
E93428
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Vendée |
E138958
|
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: Vendée | Statement: [Loire-Atlantique, borders, Vendée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendée Context triple: [Loire-Atlantique, borders, Vendée]
-
A.
Vendée
chosen
Vendée is a department in western France known for its Atlantic coastline, rural landscapes, and historical role in the counter-revolutionary uprisings during the French Revolution.
-
B.
Saintonge
Saintonge is a historic coastal region in western France, centered around the town of Saintes and known for its Romanesque heritage and early production of cognac.
-
C.
Dombes
Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
-
D.
Ver-sur-Mer
Ver-sur-Mer is a coastal village in Normandy, France, known for its location on Gold Beach, one of the key Allied landing sectors during the D-Day invasion of World War II.
-
E.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040a8b808190874ad1a5152adf1f |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.