Enschede, Netherlands

E160259

Enschede is a city in the eastern Netherlands known for its former textile industry, technical university, and location near the German border.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
Enschede, Netherlands canonical 3
Enschede city centre 1

Statements (47)

Predicate Object
instanceOf city
municipality of the Netherlands
areaCode 053
borderWith Germany
climate temperate oceanic climate
country Netherlands
fireworksDisasterYear 2000
hasAirport Enschede Airport Twente
hasChurch Grote Kerk (Enschede)
hasCityRightsSince 1325
hasCulturalInstitution Concordia theatre
Rijksmuseum Twenthe
hasFootballClub FC Twente
hasHigherEducationInstitution Saxion University of Applied Sciences
hasNeighbouringMunicipality Boekel (Germany)
Haaksbergen NERFINISHED
Hengelo NERFINISHED
Losser
hasPark Volkspark Enschede
hasPopulation approximately 160000 inhabitants
hasRailwayStation Enschede railway station
surface form: Enschede De Eschmarke railway station

Enschede Kennispark railway station
Enschede railway station
hasSquare Grote Markt
Grote Markt
surface form: Oude Markt
hasUniversity University of Twente
hasUniversityCampus Kennispark Twente
historicalIndustry textile manufacturing
knownFor cross-border trade
former textile industry
technical university
language Dutch
locatedIn eastern Netherlands
province of Overijssel
region of Twente
locatedNear German border
mayorTitle Mayor of Enschede
municipalCouncilSeats 39
partOf Kingdom of the Netherlands
postalCodeRange 7500–7549
regionalLanguage Dutch Low Saxon
surface form: Tweants (Low Saxon dialect)
sufferedEvent Enschede fireworks disaster
timeZone Central European Time
timeZoneDST Central European Summer Time
twinTown Gronau
Münster
Palo Alto, California
surface form: Palo Alto

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: Enschede, Netherlands
Description of subject: Enschede is a city in the eastern Netherlands known for its former textile industry, technical university, and location near the German border.

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

Palo Alto, California twinTown Enschede, Netherlands
Paul Polman birthPlace Enschede, Netherlands
City of Palo Alto hasSisterCity Enschede, Netherlands
Enschede railway station near Enschede, Netherlands
this entity surface form: Enschede city centre