Triple
T18573243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landes |
E453922
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Capbreton
Capbreton is a seaside town on France’s Atlantic coast known for its surfing beaches, marina, and proximity to the Landes forest.
|
E1331425
|
NE FINISHED |
How this triple was built (4 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: Capbreton | Statement: [Landes, contains, Capbreton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capbreton Context triple: [Landes, contains, Capbreton]
-
A.
Port-Bredy
Port-Bredy is a fictional coastal town in Thomas Hardy’s Wessex, modeled on the real town of Bridport in Dorset, England.
-
B.
Roscanvel
Roscanvel is a small coastal commune in the Finistère department of Brittany in northwestern France, known for its scenic cliffs and maritime heritage.
-
C.
Clochegourde
Clochegourde is the fictional Loire Valley estate in Honoré de Balzac’s novel "The Lily of the Valley," serving as the home of the Comte de Mortsauf and a central setting for the story’s emotional drama.
-
D.
Douarnenez
Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
-
E.
Bénodet
Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Capbreton Triple: [Landes, contains, Capbreton]
Generated description
Capbreton is a seaside town on France’s Atlantic coast known for its surfing beaches, marina, and proximity to the Landes forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capbreton Target entity description: Capbreton is a seaside town on France’s Atlantic coast known for its surfing beaches, marina, and proximity to the Landes forest.
-
A.
Port-Bredy
Port-Bredy is a fictional coastal town in Thomas Hardy’s Wessex, modeled on the real town of Bridport in Dorset, England.
-
B.
Roscanvel
Roscanvel is a small coastal commune in the Finistère department of Brittany in northwestern France, known for its scenic cliffs and maritime heritage.
-
C.
Clochegourde
Clochegourde is the fictional Loire Valley estate in Honoré de Balzac’s novel "The Lily of the Valley," serving as the home of the Comte de Mortsauf and a central setting for the story’s emotional drama.
-
D.
Douarnenez
Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
-
E.
Bénodet
Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
- F. None of above. chosen
Provenance (5 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c7f63c81909b5d5764ffd20234 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f886f2e88190bf01061cb793c0ab |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9511eb08190952be765862cd1ab |
completed | May 13, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9dd338881908b300bab7947f736 |
completed | May 13, 2026, 10:23 p.m. |
Created at: April 10, 2026, 11:43 a.m.