Triple
T6729462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saintonge |
E153597
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | former French province |
C6761
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: former French province Context triple: [Saintonge, instanceOf, former French province]
-
A.
former province of France
chosen
A former province of France is a historical territorial and administrative region that existed before the French Revolution, often retaining distinct cultural and regional identities despite no longer having official administrative status.
-
B.
prefecture of France
A prefecture of France is an administrative center, typically a city, that serves as the seat of the state’s representative (the prefect) and the main government offices for a department or region.
-
C.
region of France
A region of France is a large administrative and territorial division that groups several departments under a common regional government, identity, and economic framework.
-
D.
overseas department and region of France
An overseas department and region of France is a territorial collectivity located outside the European continent that holds the same political status as mainland French departments and regions, fully integrated into the French Republic and the European Union.
-
E.
French métropole
A French métropole is a large intercommunal structure that groups together multiple municipalities around a major urban center to coordinate and manage shared public services, development, and planning at a metropolitan scale.
- F. None of above.
Provenance (1 batch)
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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
Created at: March 27, 2026, 2:08 p.m.