Triple
T14843938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picard |
E349035
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Boulonnais |
E521110
|
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: Boulonnais | Statement: [Picard, hasDialect, Boulonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boulonnais Context triple: [Picard, hasDialect, Boulonnais]
-
A.
Boulonnais
chosen
Boulonnais is a regional variety of the Picard language traditionally spoken around the Boulogne-sur-Mer area in northern France.
-
B.
Pas-de-Calais
Pas-de-Calais is a department in northern France, bordering the English Channel and known for its historic ports, World War battlefields, and the Channel Tunnel connection to the United Kingdom.
-
C.
Pays du Bessin
Pays du Bessin is a historical and coastal area in Normandy, France, encompassing several communes including parts of the D-Day landing beaches.
-
D.
Pays de Falaise
Pays de Falaise is a historical region in Normandy, France, centered around the town of Falaise and known for its medieval heritage and association with William the Conqueror.
-
E.
Artois
Artois is a historical region in northern France known for its medieval heritage, strategic location, and role in numerous European conflicts.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4b31a48190a3b60f02b581fbd2 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:53 a.m.