Triple
T15670367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Saint-Brieuc |
E377292
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Caulnes
Caulnes is a commune in the Côtes-d'Armor department in the Brittany region of northwestern France.
|
E1173124
|
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: Caulnes | Statement: [arrondissement of Saint-Brieuc, contains, Caulnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caulnes Context triple: [arrondissement of Saint-Brieuc, contains, Caulnes]
-
A.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
-
E.
Clohars-Carnoët
Clohars-Carnoët is a coastal commune in the Finistère department of Brittany in northwestern France, known for its beaches and scenic landscapes.
- 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: Caulnes Triple: [arrondissement of Saint-Brieuc, contains, Caulnes]
Generated description
Caulnes is a commune in the Côtes-d'Armor department in the Brittany region of northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caulnes Target entity description: Caulnes is a commune in the Côtes-d'Armor department in the Brittany region of northwestern France.
-
A.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
-
E.
Clohars-Carnoët
Clohars-Carnoët is a coastal commune in the Finistère department of Brittany in northwestern France, known for its beaches and scenic landscapes.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756b9af48190a634f23ace966ae9 |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff76f7342c8190a6795008f5d8675b |
completed | May 9, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff7756571c8190aa0a8b46306436e4 |
completed | May 9, 2026, 6:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.