Mukogawa Station
E849174
Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mukogawa Station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3956867 — 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: Mukogawa Station Context triple: [Amagasaki, railwayStation, Mukogawa Station]
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A.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
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B.
Kawachi-Yamamoto Station
Kawachi-Yamamoto Station is a railway station in Kashiwara, Osaka Prefecture, Japan, serving as a local transit hub on the Kintetsu Railway network.
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C.
Wakoshi Station
Wakoshi Station is a major railway hub in Wako, Saitama Prefecture, Japan, serving multiple Tokyo Metro and Tobu lines and functioning as an important gateway between Saitama and central Tokyo.
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D.
Izumoshi Station
Izumoshi Station is a major railway station in Izumo, Shimane Prefecture, Japan, serving as a key regional hub for local and limited express train services.
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E.
Takatsuki Station
Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
- 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: Mukogawa Station Target entity description: Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
-
A.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
B.
Kawachi-Yamamoto Station
Kawachi-Yamamoto Station is a railway station in Kashiwara, Osaka Prefecture, Japan, serving as a local transit hub on the Kintetsu Railway network.
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C.
Wakoshi Station
Wakoshi Station is a major railway hub in Wako, Saitama Prefecture, Japan, serving multiple Tokyo Metro and Tobu lines and functioning as an important gateway between Saitama and central Tokyo.
-
D.
Izumoshi Station
Izumoshi Station is a major railway station in Izumo, Shimane Prefecture, Japan, serving as a key regional hub for local and limited express train services.
-
E.
Takatsuki Station
Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
- F. None of above. chosen
Statements (31)
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: Mukogawa Station Description of subject: Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.