Triple
T13589284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Croisic |
E324648
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Guérande |
E382788
|
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: Guérande | Statement: [Le Croisic, locatedNear, Guérande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guérande Context triple: [Le Croisic, locatedNear, Guérande]
-
A.
Guérande
chosen
Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
-
B.
Brouage
Brouage is a historic fortified coastal village in southwestern France, known as the birthplace of explorer Samuel de Champlain and once an important salt-trading port.
-
C.
Bénodet
Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
-
D.
Le Croisic
Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
-
E.
Dinard
Dinard is a coastal resort town in northwestern France’s Brittany region, known for its Belle Époque villas and beaches along the Emerald Coast.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c6cde08190b79fdcde8a81ccc4 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:49 p.m.