Triple
T9883553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D559 road |
E180871
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Le Lavandou |
E179579
|
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: Le Lavandou | Statement: [D559 road, connects, Le Lavandou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Lavandou Context triple: [D559 road, connects, Le Lavandou]
-
A.
Le Lavandou
chosen
Le Lavandou is a seaside resort town on the French Riviera in southeastern France, known for its sandy beaches and Mediterranean coastal scenery.
-
B.
La Teste-de-Buch
La Teste-de-Buch is a coastal commune in southwestern France known for its vast forests, Atlantic beaches, and proximity to the Dune of Pilat near Arcachon Bay.
-
C.
Le Barcarès
Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
-
D.
Ramatuelle
Ramatuelle is a picturesque hilltop village and coastal commune on the French Riviera, known for its medieval charm and proximity to the beaches of the Saint-Tropez area.
-
E.
Le Bar-sur-Loup
Le Bar-sur-Loup is a small historic village in southeastern France’s Alpes-Maritimes department, known for its medieval architecture and scenic setting in the Provence-Alpes-Côte d’Azur region.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb453b388819095a5070399d9788d |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaf0afcc81908d263df7651958e2 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:38 p.m.