アメリカ合衆国ミシガン州リボニア市
E774463
アメリカ合衆国ミシガン州リボニア市は、デトロイト都市圏に位置する住宅地と商業施設が広がる中規模の郊外都市です。
All labels observed (1)
| Label | Occurrences |
|---|---|
| アメリカ合衆国ミシガン州リボニア市 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9048311 — 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: アメリカ合衆国ミシガン州リボニア市 Context triple: [伊丹市, hasSisterCity, アメリカ合衆国ミシガン州リボニア市]
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A.
Republic, Michigan
Republic, Michigan is a small rural community in Michigan’s Upper Peninsula known for its forested landscape, outdoor recreation, and historic iron mining roots.
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B.
Rochester, Michigan, United States
Rochester, Michigan, United States is a small suburban city north of Detroit known for its historic downtown, affluent residential character, and strong community amenities.
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C.
Hancock, Michigan
Hancock, Michigan is a small city in Michigan’s Upper Peninsula known for its rich copper-mining heritage, Finnish-American culture, and proximity to the Keweenaw Peninsula’s historic and natural attractions.
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D.
Lowell, Michigan
Lowell, Michigan is a small city in western Michigan known for its historic downtown along the Flat River and its role as a local commercial and cultural center.
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E.
Saginaw, Michigan, United States
Saginaw, Michigan, United States is an industrial city in the Great Lakes region known for its automotive manufacturing history and location along the Saginaw River.
- 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: アメリカ合衆国ミシガン州リボニア市 Target entity description: アメリカ合衆国ミシガン州リボニア市は、デトロイト都市圏に位置する住宅地と商業施設が広がる中規模の郊外都市です。
-
A.
Republic, Michigan
Republic, Michigan is a small rural community in Michigan’s Upper Peninsula known for its forested landscape, outdoor recreation, and historic iron mining roots.
-
B.
Rochester, Michigan, United States
Rochester, Michigan, United States is a small suburban city north of Detroit known for its historic downtown, affluent residential character, and strong community amenities.
-
C.
Hancock, Michigan
Hancock, Michigan is a small city in Michigan’s Upper Peninsula known for its rich copper-mining heritage, Finnish-American culture, and proximity to the Keweenaw Peninsula’s historic and natural attractions.
-
D.
Lowell, Michigan
Lowell, Michigan is a small city in western Michigan known for its historic downtown along the Flat River and its role as a local commercial and cultural center.
-
E.
Saginaw, Michigan, United States
Saginaw, Michigan, United States is an industrial city in the Great Lakes region known for its automotive manufacturing history and location along the Saginaw River.
- F. None of above. chosen
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
郊外都市
ⓘ
都市 ⓘ |
| タイムゾーン |
アメリカ東部夏時間
ⓘ
アメリカ東部標準時 ⓘ |
| 主な用途地域 |
住宅
ⓘ
商業 ⓘ |
| 交通 | 自動車依存度が高い ⓘ |
| 位置 |
デトロイト都市圏
NERFINISHED
ⓘ
ミシガン州南東部 ⓘ |
| 住宅形態 |
一戸建て住宅が多い
ⓘ
低層住宅が中心 ⓘ |
| 公共施設 | 公園や学校などの公共施設が整備されている ⓘ |
| 商業施設 |
ショッピングセンターが立地している
ⓘ
ロードサイド型店舗が多い ⓘ |
| 国 | アメリカ合衆国 NERFINISHED ⓘ |
| 地域区分 | ミシガン州南東部の郊外地域 ⓘ |
| 地域性 | 典型的なミシガン州郊外住宅地の一つとみなされる ⓘ |
| 地域的特徴 |
デトロイト中心部への通勤圏内にある
ⓘ
工業都市デトロイトの郊外住宅地として発展した ⓘ |
| 属する都市圏 | デトロイト・ウォーレン・ディアボーン都市圏 NERFINISHED ⓘ |
| 州 | ミシガン州 NERFINISHED ⓘ |
| 教育 | 公立学校区が存在する ⓘ |
| 気候区分 | 湿潤大陸性気候 ⓘ |
| 治安 | デトロイト中心部と比べると比較的治安が良いとされる ⓘ |
| 特徴 |
住宅地が広がる郊外都市
ⓘ
商業施設が多い ⓘ 自動車社会型の都市構造 ⓘ |
| 用途 | ベッドタウン的性格を持つ ⓘ |
| 経済 |
サービス業が盛ん
ⓘ
小売業が盛ん ⓘ |
| 英語名 | Livonia, Michigan NERFINISHED ⓘ |
| 行政区分 | 市制を敷く自治体 ⓘ |
| 近隣都市 | デトロイト NERFINISHED ⓘ |
| 道路網 | 高速道路や幹線道路が発達している ⓘ |
| 郡 | ウェイン郡 NERFINISHED ⓘ |
| 都市形態 | 自動車交通を前提としたスプロール型市街地 ⓘ |
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: アメリカ合衆国ミシガン州リボニア市 Description of subject: アメリカ合衆国ミシガン州リボニア市は、デトロイト都市圏に位置する住宅地と商業施設が広がる中規模の郊外都市です。
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.