2022 Washington, D.C., mayoral election
E660514
The 2022 Washington, D.C., mayoral election was the contest in which voters in the U.S. capital chose their mayor for the 2023–2027 term, ultimately securing a third term for incumbent Muriel Bowser.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 2022 Washington, D.C., mayoral election canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7339907 — 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: 2022 Washington, D.C., mayoral election Context triple: [Muriel Bowser, reElectedIn, 2022 Washington, D.C., mayoral election]
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A.
2018 Washington, D.C., mayoral election
The 2018 Washington, D.C., mayoral election was the contest in which voters in the U.S. capital chose their mayor for the 2019–2023 term, resulting in the continuation of Democratic control of the office.
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B.
2014 Washington, D.C., mayoral election
The 2014 Washington, D.C., mayoral election was the contest in which voters chose the city’s chief executive, resulting in Muriel Bowser becoming mayor of the District of Columbia.
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C.
2021 New York City mayoral election
The 2021 New York City mayoral election was the contest in which voters chose the city's next mayor, ultimately resulting in Eric Adams succeeding Bill de Blasio as leader of the largest city in the United States.
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D.
2023 Dallas mayoral election
The 2023 Dallas mayoral election was the municipal contest in which voters of Dallas, Texas chose their city’s mayor for a new term.
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E.
2019 Chicago mayoral election
The 2019 Chicago mayoral election was the contest in which Lori Lightfoot won the mayoralty, becoming the city’s first Black woman and first openly gay mayor.
- 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: 2022 Washington, D.C., mayoral election Target entity description: The 2022 Washington, D.C., mayoral election was the contest in which voters in the U.S. capital chose their mayor for the 2023–2027 term, ultimately securing a third term for incumbent Muriel Bowser.
-
A.
2018 Washington, D.C., mayoral election
The 2018 Washington, D.C., mayoral election was the contest in which voters in the U.S. capital chose their mayor for the 2019–2023 term, resulting in the continuation of Democratic control of the office.
-
B.
2014 Washington, D.C., mayoral election
The 2014 Washington, D.C., mayoral election was the contest in which voters chose the city’s chief executive, resulting in Muriel Bowser becoming mayor of the District of Columbia.
-
C.
2021 New York City mayoral election
The 2021 New York City mayoral election was the contest in which voters chose the city's next mayor, ultimately resulting in Eric Adams succeeding Bill de Blasio as leader of the largest city in the United States.
-
D.
2023 Dallas mayoral election
The 2023 Dallas mayoral election was the municipal contest in which voters of Dallas, Texas chose their city’s mayor for a new term.
-
E.
2019 Chicago mayoral election
The 2019 Chicago mayoral election was the contest in which Lori Lightfoot won the mayoralty, becoming the city’s first Black woman and first openly gay mayor.
- F. None of above. chosen
Statements (30)
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: 2022 Washington, D.C., mayoral election Description of subject: The 2022 Washington, D.C., mayoral election was the contest in which voters in the U.S. capital chose their mayor for the 2023–2027 term, ultimately securing a third term for incumbent Muriel Bowser.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.