Triple
T13019050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardians |
E322627
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Course camarguaise |
E10340
|
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: Course camarguaise | Statement: [Gardians, associatedWith, Course camarguaise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Course camarguaise Context triple: [Gardians, associatedWith, Course camarguaise]
-
A.
Port Camargue
Port Camargue is a large Mediterranean marina in southern France, known as one of Europe’s biggest pleasure-boat harbors and a major center for nautical tourism.
-
B.
La Madrague
"La Madrague" is a 1963 French chanson closely associated with Brigitte Bardot, evoking the carefree atmosphere of her seaside home in Saint-Tropez.
-
C.
La Tranche-sur-Mer
La Tranche-sur-Mer is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and water sports.
-
D.
Camargue
chosen
Camargue is a vast wetland region in southern France known for its salt marshes, wild white horses, black bulls, and rich birdlife including flamingos.
-
E.
L’Estaque
L’Estaque is a coastal district of Marseille in southern France, famed for its picturesque Mediterranean scenery that inspired numerous Impressionist and Post-Impressionist painters.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc98e10819091d71198bca1ac12 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:51 p.m.