Triple
T6214783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendée |
E138958
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Île d’Yeu |
E62349
|
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: Île d’Yeu | Statement: [Vendée, hasIsland, Île d’Yeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Île d’Yeu Context triple: [Vendée, hasIsland, Île d’Yeu]
-
A.
Île d’Yeu
chosen
Île d’Yeu is a small French Atlantic island off the Vendée coast, known for its rugged coastline, sandy beaches, and historic fortifications.
-
B.
Île d’Oléron
Île d’Oléron is a large Atlantic island off the west coast of France, known for its beaches, oyster farming, and seaside resorts.
-
C.
Île de Nantes
Île de Nantes is a large river island in the Loire at the heart of Nantes, France, known for its major urban redevelopment and creative, cultural attractions.
-
D.
Île de Ré
Île de Ré is a popular Atlantic island off the west coast of France, known for its sandy beaches, salt marshes, and charming villages connected to the mainland by a long bridge.
-
E.
Île-Rousse
Île-Rousse is a coastal town and popular seaside resort in the Balagne region of northern Corsica, known for its red granite islets and picturesque Mediterranean setting.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a0e0488190b71b42386bacf982 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dacf1788190a655c39bd248fde8 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:21 p.m.