Triple
T16201422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guérande salt marshes |
E393209
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Le Croisic |
E515724
|
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 Croisic | Statement: [Guérande salt marshes, locatedNear, Le Croisic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Croisic Context triple: [Guérande salt marshes, locatedNear, Le Croisic]
-
A.
Le Croisic
chosen
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.
-
B.
Guérande
Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
-
C.
Roscoff
Roscoff is a picturesque coastal town in Brittany, France, known for its historic port, thalassotherapy centers, and traditional onion-exporting heritage.
-
D.
Plougastel-Daoulas
Plougastel-Daoulas is a coastal commune in the Finistère department of Brittany in northwestern France, known for its strawberry production and rich Breton cultural heritage.
-
E.
Morlaix
Morlaix is a historic town and port in the Finistère department of Brittany in northwestern France, known for its picturesque old center and impressive railway viaduct.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270aa7f08190ab37aa9ff46816fc |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a90be08190bd9fb64abd424e1e |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:03 a.m.