Triple
T1777816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugène Boudin |
E39220
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Honfleur |
E44781
|
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: Honfleur | Statement: [Eugène Boudin, birthPlace, Honfleur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honfleur Context triple: [Eugène Boudin, birthPlace, Honfleur]
-
A.
Honfleur
chosen
Honfleur is a historic port town in Normandy, northern France, renowned for its picturesque old harbor, timber-framed houses, and association with Impressionist painters.
-
B.
Cherbourg
Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
-
C.
Saint-Malo
Saint-Malo is a historic walled port city in Brittany, northwestern France, known for its maritime heritage, privateering past, and dramatic coastal setting on the English Channel.
-
D.
Boulogne-sur-Mer
Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
-
E.
Calais
Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b967f08190a73216361b9c2d83 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9a14a18819090b83b3d10304c74 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:31 p.m.