2016 Winter Youth Olympics
E98198
The 2016 Winter Youth Olympics were an international multi-sport event for young athletes, featuring winter sports competitions and cultural activities under the auspices of the International Olympic Committee.
All labels observed (5)
| Label | Occurrences |
|---|---|
| 2016 Winter Youth Olympic Games | 2 |
| 2016 Winter Youth Olympics canonical | 1 |
| II Winter Youth Olympic Games | 1 |
| Lillehammer 2016 | 1 |
| Winter Youth Olympic Games | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T821751 — 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: 2016 Winter Youth Olympics Context triple: [Lillehammer, hosted, 2016 Winter Youth Olympics]
-
A.
2018 Winter Olympics
The 2018 Winter Olympics were an international multi-sport winter games held in Pyeongchang, South Korea, featuring athletes from around the world competing in various snow and ice disciplines.
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B.
XVI Olympic Winter Games
The XVI Olympic Winter Games were the 1992 Winter Olympics, an international multi-sport event held in Albertville, France, featuring winter sports competitions among athletes from around the world.
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C.
XVIII Olympic Winter Games
The XVIII Olympic Winter Games were the 1998 Winter Olympics held in Nagano, Japan, featuring winter sports competitions among athletes from around the world.
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D.
XVII Olympic Winter Games
The XVII Olympic Winter Games were the 1994 Winter Olympics, an international multi-sport event held in Lillehammer, Norway.
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E.
XIX Olympic Winter Games
The XIX Olympic Winter Games were the 2002 Winter Olympics held in Salt Lake City, Utah, featuring winter sports competitions among athletes from around the world.
- 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: 2016 Winter Youth Olympics Target entity description: The 2016 Winter Youth Olympics were an international multi-sport event for young athletes, featuring winter sports competitions and cultural activities under the auspices of the International Olympic Committee.
-
A.
2018 Winter Olympics
The 2018 Winter Olympics were an international multi-sport winter games held in Pyeongchang, South Korea, featuring athletes from around the world competing in various snow and ice disciplines.
-
B.
XVI Olympic Winter Games
The XVI Olympic Winter Games were the 1992 Winter Olympics, an international multi-sport event held in Albertville, France, featuring winter sports competitions among athletes from around the world.
-
C.
XVIII Olympic Winter Games
The XVIII Olympic Winter Games were the 1998 Winter Olympics held in Nagano, Japan, featuring winter sports competitions among athletes from around the world.
-
D.
XVII Olympic Winter Games
The XVII Olympic Winter Games were the 1994 Winter Olympics, an international multi-sport event held in Lillehammer, Norway.
-
E.
XIX Olympic Winter Games
The XIX Olympic Winter Games were the 2002 Winter Olympics held in Salt Lake City, Utah, featuring winter sports competitions among athletes from around the world.
- F. None of above. chosen
Statements (53)
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: 2016 Winter Youth Olympics Description of subject: The 2016 Winter Youth Olympics were an international multi-sport event for young athletes, featuring winter sports competitions and cultural activities under the auspices of the International Olympic Committee.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Winter Youth Olympic Games
this entity surface form:
II Winter Youth Olympic Games
this entity surface form:
Lillehammer 2016
this entity surface form:
2016 Winter Youth Olympic Games
this entity surface form:
2016 Winter Youth Olympic Games