Lannesdorf
E573380
Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lannesdorf canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6155491 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lannesdorf Context triple: [Bad Godesberg, hasSubdistrict, Lannesdorf]
-
A.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
-
B.
St. Vith
St. Vith is a town in eastern Belgium that became a strategically important battleground during World War II, particularly noted for its role in the Battle of the Bulge.
-
C.
Ottobeuren
Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
-
D.
Blegny
Blegny is a municipality in eastern Belgium known for its historic coal mining heritage and rural character.
-
E.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lannesdorf Target entity description: Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
-
A.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
-
B.
St. Vith
St. Vith is a town in eastern Belgium that became a strategically important battleground during World War II, particularly noted for its role in the Battle of the Bulge.
-
C.
Ottobeuren
Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
-
D.
Blegny
Blegny is a municipality in eastern Belgium known for its historic coal mining heritage and rural character.
-
E.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
Stadtteil
ⓘ
residential subdistrict ⓘ |
| borough | Bad Godesberg ⓘ |
| city | Bonn ⓘ |
| country | Germany ⓘ |
| governedBy |
City of Bonn
ⓘ
linked to:
Bonn
|
| hasAreaCode | 0228 ⓘ |
| hasContinent | Europe ⓘ |
| hasLicencePlateCode | BN ⓘ |
| hasMunicipalAssociation | Stadtbezirk Bad Godesberg ⓘ |
| hasNeighbouringDistrict |
Gimmersdorf
ⓘ
Mehlem ⓘ Niederbachem ⓘ Pennenfeld ⓘ Rüngsdorf ⓘ |
| hasOfficialLanguage | German ⓘ |
| hasPostalCode | 53179 ⓘ |
| hasPublicTransportOperator | SWB Bus und Bahn ⓘ |
| hasTypeOfArea | residential area ⓘ |
| locatedInRegion | Rhineland ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedOnRiver | Rhine ⓘ |
| partOf |
Bad Godesberg
ⓘ
Bonn ⓘ Germany ⓘ North Rhine-Westphalia ⓘ |
| state | North Rhine-Westphalia ⓘ |
| usesDaylightSavingTime | true ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Lannesdorf Description of subject: Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.