Triple
T4120707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ver-sur-Mer |
E92604
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Bessin
Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
|
E419332
|
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: Bessin | Statement: [Ver-sur-Mer, partOf, Bessin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bessin Context triple: [Ver-sur-Mer, partOf, Bessin]
-
A.
Bièvres
Bièvres is a commune in the Essonne department in the southern suburbs of Paris, France, known for its picturesque valley and proximity to the capital.
-
B.
Avranches
Avranches is a historic town in northwestern France, near Mont-Saint-Michel, known for its medieval heritage and role in the liberation of Normandy during World War II.
-
C.
Braye
Braye is a river in central France that serves as a tributary of the Loir.
-
D.
Vic-sur-Cère
Vic-sur-Cère is a small spa and holiday town in the Cantal department of south-central France, known for its scenic setting in the Auvergne volcanic region.
-
E.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
- 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: Bessin Triple: [Ver-sur-Mer, partOf, Bessin]
Generated description
Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bessin Target entity description: Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
-
A.
Bièvres
Bièvres is a commune in the Essonne department in the southern suburbs of Paris, France, known for its picturesque valley and proximity to the capital.
-
B.
Avranches
Avranches is a historic town in northwestern France, near Mont-Saint-Michel, known for its medieval heritage and role in the liberation of Normandy during World War II.
-
C.
Braye
Braye is a river in central France that serves as a tributary of the Loir.
-
D.
Vic-sur-Cère
Vic-sur-Cère is a small spa and holiday town in the Cantal department of south-central France, known for its scenic setting in the Auvergne volcanic region.
-
E.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0203b8c88190b08dd64800a37168 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589db323881908ac7c0cd11798c24 |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58b22a1d88190a16e1c1e41291f5a |
completed | March 14, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b8bfb288190a097942b5b8c366e |
completed | March 14, 2026, 4:23 p.m. |
Created at: March 9, 2026, 3:41 p.m.