Triple
T22021564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Dunkirk |
E543857
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bailleul |
—
|
NE NERFINISHED |
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: Bailleul | Statement: [Arrondissement of Dunkirk, contains, Bailleul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bailleul Context triple: [Arrondissement of Dunkirk, contains, Bailleul]
-
A.
Bailleul
chosen
Bailleul is a commune in northern France known for its Flemish-style architecture and location near the Belgian border.
-
B.
Yvetot
Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
-
C.
Sandouville
Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
-
D.
Cabourg
Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
-
E.
Valognes
Valognes is a historic town in northwestern France known for its elegant 17th- and 18th-century mansions and its location on the Cotentin Peninsula in Normandy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.