Triple
T13449361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | judicial arrondissement of Kortrijk |
E320567
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object |
Anzegem
Anzegem is a municipality in the Belgian province of West Flanders.
|
E1068444
|
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: Anzegem | Statement: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Anzegem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anzegem Context triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Anzegem]
-
A.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
B.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
C.
Wijnegem
Wijnegem is a municipality in the Belgian province of Antwerp, known in part for hosting one of the largest shopping centers in the Benelux region.
-
D.
Zonhoven
Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
-
E.
Zwevegem
Zwevegem is a municipality in the Belgian province of West Flanders, known for its mix of rural villages and industrial heritage.
- 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: Anzegem Triple: [judicial arrondissement of Kortrijk, hasJurisdictionOver, Anzegem]
Generated description
Anzegem is a municipality in the Belgian province of West Flanders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anzegem Target entity description: Anzegem is a municipality in the Belgian province of West Flanders.
-
A.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
B.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
C.
Wijnegem
Wijnegem is a municipality in the Belgian province of Antwerp, known in part for hosting one of the largest shopping centers in the Benelux region.
-
D.
Zonhoven
Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
-
E.
Zwevegem
Zwevegem is a municipality in the Belgian province of West Flanders, known for its mix of rural villages and industrial heritage.
- 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_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_69f7c6f78e088190a2d241042cfe615f |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c868bdfc8190a13379363d01568d |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 9:41 p.m.