Ter Leede
E609706
Ter Leede is a Dutch football club known for its successful women's team and role in developing prominent players such as Sarina Wiegman.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ter Leede canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6649264 — 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: Ter Leede Context triple: [Sarina Wiegman, clubPlayedFor, Ter Leede]
-
A.
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
-
B.
Sander Loones
Sander Loones is a Belgian politician and member of the New Flemish Alliance (N-VA) who has served in both national and European political roles.
-
C.
Sander Dieleman
Sander Dieleman is a machine learning researcher known for his influential work in deep learning for audio and music, including contributions to models such as WaveNet.
-
D.
Dirk Stikker
Dirk Stikker was a Dutch banker, politician, and diplomat who served as NATO Secretary General and played a key role in post–World War II European politics.
-
E.
Maarten Baas
Maarten Baas is a Dutch designer and artist renowned for his conceptual, often playful furniture and installations that blur the boundaries between art and design.
- 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: Ter Leede Target entity description: Ter Leede is a Dutch football club known for its successful women's team and role in developing prominent players such as Sarina Wiegman.
-
A.
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
-
B.
Sander Loones
Sander Loones is a Belgian politician and member of the New Flemish Alliance (N-VA) who has served in both national and European political roles.
-
C.
Sander Dieleman
Sander Dieleman is a machine learning researcher known for his influential work in deep learning for audio and music, including contributions to models such as WaveNet.
-
D.
Dirk Stikker
Dirk Stikker was a Dutch banker, politician, and diplomat who served as NATO Secretary General and played a key role in post–World War II European politics.
-
E.
Maarten Baas
Maarten Baas is a Dutch designer and artist renowned for his conceptual, often playful furniture and installations that blur the boundaries between art and design.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
association football player
ⓘ
football club ⓘ women's football team ⓘ |
| achievement |
multiple national titles in Dutch women's football
ⓘ
participation in UEFA women's club competitions ⓘ |
| competition |
Dutch football league system
ⓘ
Dutch women's football league system ⓘ |
| country |
Netherlands
ⓘ
Netherlands ⓘ |
| countryOfCitizenship | Netherlands ⓘ |
| developedPlayer |
Dutch international players
ⓘ
Sarina Wiegman ⓘ |
| genderOfTeam | men's team ⓘ |
| hasSection | Ter Leede (women) ⓘ |
| homeCountry | Netherlands ⓘ |
| languageOfClub |
Dutch
ⓘ
Dutch ⓘ |
| league |
Eredivisie Vrouwen
ⓘ
Hoofdklasse (women) ⓘ |
| locationCountry | Netherlands ⓘ |
| notableFor |
success in Dutch women's football
ⓘ
successful women's football section ⓘ |
| notablePlayer | Sarina Wiegman ⓘ |
| playedFor | Ter Leede (women) ⓘ |
| positionPlayed | defender ⓘ |
| role |
development of prominent women's football players
ⓘ
development of women's football in the Netherlands ⓘ |
| sport |
association football
ⓘ
association football ⓘ |
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: Ter Leede Description of subject: Ter Leede is a Dutch football club known for its successful women's team and role in developing prominent players such as Sarina Wiegman.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.