Triple
T17770509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vauvert |
E443622
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Petite Camargue |
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: Petite Camargue | Statement: [Vauvert, locatedNear, Petite Camargue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petite Camargue Context triple: [Vauvert, locatedNear, Petite Camargue]
-
A.
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.
-
B.
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.
-
C.
Béziers plain
The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
-
D.
Montpellier plain
The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
-
E.
Petit Sablon
Petit Sablon is a historic square and landscaped garden in central Brussels, Belgium, known for its ornate statues and proximity to major landmarks such as the Egmont Palace.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485ff928481909fe32260ba57978f |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82fee188190a357a205f4bc82b8 |
completed | May 12, 2026, 9:51 a.m. |
Created at: April 10, 2026, 10:11 a.m.