Triple
T13449351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | judicial arrondissement of Kortrijk |
E320567
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | Kuurne |
E1055443
|
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: Kuurne | Statement: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Kuurne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuurne Context triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Kuurne]
-
A.
Kuurne
chosen
Kuurne is a municipality in the Belgian province of West Flanders, situated near the city of Kortrijk.
-
B.
Geraardsbergen
Geraardsbergen is a historic city in East Flanders, Belgium, known for its steep Muur van Geraardsbergen climb and traditional mattentaart pastries.
-
C.
Harelbeke
Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
-
D.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
-
E.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c49e9c819088e6e98aa53d05fa |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:41 p.m.