Triple
T19747898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon (region) |
E474299
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Plouguerneau
Plouguerneau is a coastal commune in the Finistère department of Brittany in northwestern France, known for its rugged shoreline and maritime heritage.
|
E1426670
|
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: Plouguerneau | Statement: [Léon (region), contains, Plouguerneau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plouguerneau Context triple: [Léon (region), contains, Plouguerneau]
-
A.
Plouyé
Plouyé is a small commune in the Finistère department of Brittany in northwestern France, known for its rural character and traditional Breton heritage.
-
B.
Plougasnou
Plougasnou is a coastal commune in the Finistère department of Brittany in northwestern France, known for its rugged shoreline, beaches, and scenic views over the Bay of Morlaix.
-
C.
Plouzévédé
Plouzévédé is a small commune in the Finistère department of Brittany in northwestern France.
-
D.
Bénodet
Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
-
E.
Plouard
Plouard was the architect responsible for designing the Pont de l'Archevêché bridge in Paris.
- 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: Plouguerneau Triple: [Léon (region), contains, Plouguerneau]
Generated description
Plouguerneau is a coastal commune in the Finistère department of Brittany in northwestern France, known for its rugged shoreline and maritime heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plouguerneau Target entity description: Plouguerneau is a coastal commune in the Finistère department of Brittany in northwestern France, known for its rugged shoreline and maritime heritage.
-
A.
Plouyé
Plouyé is a small commune in the Finistère department of Brittany in northwestern France, known for its rural character and traditional Breton heritage.
-
B.
Plougasnou
Plougasnou is a coastal commune in the Finistère department of Brittany in northwestern France, known for its rugged shoreline, beaches, and scenic views over the Bay of Morlaix.
-
C.
Plouzévédé
Plouzévédé is a small commune in the Finistère department of Brittany in northwestern France.
-
D.
Bénodet
Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
-
E.
Plouard
Plouard was the architect responsible for designing the Pont de l'Archevêché bridge in Paris.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087069ce008190b409e7ba9beba1dc |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087213a0408190a9b553323d7ced1f |
completed | May 16, 2026, 1:33 p.m. |
Created at: April 10, 2026, 1:47 p.m.