Yukuhashi, Fukuoka
E491686
Yukuhashi, Fukuoka is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial center with convenient rail links and proximity to both urban Kitakyushu and the surrounding coastal and rural areas.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Kanda, Fukuoka | 1 |
| Yukuhashi, Fukuoka canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5074684 — 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.
Target entity: Yukuhashi, Fukuoka Context triple: [Tsuiki Air Base, locatedNear, Yukuhashi, Fukuoka]
-
A.
Higashi-ku, Fukuoka
Higashi-ku, Fukuoka is one of the seven wards of Fukuoka City in Japan, known for its coastal location, residential areas, and several major educational and research institutions.
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B.
Minami-ku, Fukuoka
Minami-ku, Fukuoka is one of the wards of Fukuoka City in Japan, known as a primarily residential and educational area that hosts several university campuses.
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C.
Iizuka, Fukuoka, Japan
Iizuka is a city in Fukuoka Prefecture on Japan’s Kyushu island, historically known as a coal-mining center and now a regional commercial and educational hub.
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D.
Fukuoka Kōsai
Fukuoka Kōsai is a regional high-level appellate court in Japan that hears appeals from lower courts within its jurisdiction, centered in Fukuoka.
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E.
Amakusa–Fukuoka
Amakusa–Fukuoka is a regional domestic air route in Japan connecting the Amakusa Islands in Kumamoto Prefecture with the city of Fukuoka on Kyushu.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Yukuhashi, Fukuoka Target entity description: Yukuhashi, Fukuoka is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial center with convenient rail links and proximity to both urban Kitakyushu and the surrounding coastal and rural areas.
-
A.
Higashi-ku, Fukuoka
Higashi-ku, Fukuoka is one of the seven wards of Fukuoka City in Japan, known for its coastal location, residential areas, and several major educational and research institutions.
-
B.
Minami-ku, Fukuoka
Minami-ku, Fukuoka is one of the wards of Fukuoka City in Japan, known as a primarily residential and educational area that hosts several university campuses.
-
C.
Iizuka, Fukuoka, Japan
Iizuka is a city in Fukuoka Prefecture on Japan’s Kyushu island, historically known as a coal-mining center and now a regional commercial and educational hub.
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D.
Fukuoka Kōsai
Fukuoka Kōsai is a regional high-level appellate court in Japan that hears appeals from lower courts within its jurisdiction, centered in Fukuoka.
-
E.
Amakusa–Fukuoka
Amakusa–Fukuoka is a regional domestic air route in Japan connecting the Amakusa Islands in Kumamoto Prefecture with the city of Fukuoka on Kyushu.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
city
ⓘ
municipality of Japan ⓘ |
| country | Japan ⓘ |
| hasCityCouncil | Yukuhashi City Council NERFINISHED ⓘ |
| hasClimate | humid subtropical climate ⓘ |
| hasClimateClassification | Cfa ⓘ |
| hasCoastlineOn | Suō Sea NERFINISHED ⓘ |
| hasEducationalInstitutionType |
elementary schools
ⓘ
high schools ⓘ higher education facilities ⓘ junior high schools ⓘ |
| hasMayor | mayor of Yukuhashi ⓘ |
| hasMunicipalGovernment | Yukuhashi City Hall NERFINISHED ⓘ |
| hasPrimaryEconomicFunction |
commerce
ⓘ
retail trade ⓘ services ⓘ |
| hasPrivateRailway | Heisei Chikuho Railway NERFINISHED ⓘ |
| hasRailLinks | convenient ⓘ |
| hasRailwayLine |
Hitahikosan Line
NERFINISHED
ⓘ
Nippō Main Line NERFINISHED ⓘ |
| hasRailwayService | JR Kyushu NERFINISHED ⓘ |
| hasRegion | Chikujo District area (surrounding region) NERFINISHED ⓘ |
| hasRegionRole | local commercial hub ⓘ |
| hasSettlementType | city ⓘ |
| hasStation |
Shin-Yukuhashi Station
NERFINISHED
ⓘ
Yukuhashi Station NERFINISHED ⓘ |
| hasSurroundingLandUse |
coastal
ⓘ
rural ⓘ suburban ⓘ |
| isCommutableTo | Kitakyushu urban area NERFINISHED ⓘ |
| isConnectedByRoad |
National Route 10
NERFINISHED
ⓘ
National Route 201 NERFINISHED ⓘ National Route 496 NERFINISHED ⓘ |
| isInEasternPartOf | Fukuoka Prefecture NERFINISHED ⓘ |
| isNear |
Kitakyushu
NERFINISHED
ⓘ
coastal areas of eastern Fukuoka Prefecture ⓘ rural areas of eastern Fukuoka Prefecture ⓘ |
| isPartOf | Japan’s Kyushu region NERFINISHED ⓘ |
| isRegionalCommercialCenter | true ⓘ |
| isServedBy | regional rail network ⓘ |
| languageUsed | Japanese ⓘ |
| localDialect | Kyushu Japanese NERFINISHED ⓘ |
| locatedIn |
Fukuoka Prefecture
NERFINISHED
ⓘ
Japan ⓘ Kyushu NERFINISHED ⓘ |
| locatedInTimeZone | Japan Standard Time ⓘ |
| postalCodeType | Japanese postal code ⓘ |
| UTCOffset | +9 ⓘ |
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.
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.
Subject: Yukuhashi, Fukuoka Description of subject: Yukuhashi, Fukuoka is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial center with convenient rail links and proximity to both urban Kitakyushu and the surrounding coastal and rural areas.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.