Namie, Fukushima Prefecture
E795982
Namie is a coastal town in Fukushima Prefecture, Japan, that was heavily affected by the 2011 Tōhoku earthquake, tsunami, and Fukushima Daiichi nuclear disaster.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Minamisōma, Fukushima Prefecture | 1 |
| Namie, Fukushima | 1 |
| Namie, Fukushima Prefecture canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9296298 — 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: Namie, Fukushima Prefecture Context triple: [Futaba, Fukushima Prefecture, bordersMunicipality, Namie, Fukushima Prefecture]
-
A.
Tamura, Fukushima Prefecture
Tamura is a city in Fukushima Prefecture, Japan, known for its rural landscapes, limestone caves, and proximity to the Fukushima Daiichi Nuclear Power Plant area.
-
B.
Futaba, Fukushima Prefecture
Futaba, Fukushima Prefecture is a coastal Japanese town in northeastern Honshu best known as one of the municipalities hosting the Fukushima Daiichi Nuclear Power Plant and being heavily affected by the 2011 nuclear disaster.
-
C.
Taira, Fukushima Prefecture, Japan
Taira, located in Fukushima Prefecture, Japan, is a district of the city of Iwaki known as a regional commercial and administrative center.
-
D.
Ōkuma, Fukushima Prefecture
Ōkuma, Fukushima Prefecture is a coastal Japanese town best known as one of the sites hosting the Fukushima Daiichi Nuclear Power Plant and being heavily affected by the 2011 nuclear disaster.
-
E.
Kawauchi, Fukushima Prefecture
Kawauchi is a rural village in Fukushima Prefecture, Japan, known for its forests, agriculture, and post-Fukushima nuclear disaster recovery efforts.
- 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: Namie, Fukushima Prefecture Target entity description: Namie is a coastal town in Fukushima Prefecture, Japan, that was heavily affected by the 2011 Tōhoku earthquake, tsunami, and Fukushima Daiichi nuclear disaster.
-
A.
Tamura, Fukushima Prefecture
Tamura is a city in Fukushima Prefecture, Japan, known for its rural landscapes, limestone caves, and proximity to the Fukushima Daiichi Nuclear Power Plant area.
-
B.
Futaba, Fukushima Prefecture
Futaba, Fukushima Prefecture is a coastal Japanese town in northeastern Honshu best known as one of the municipalities hosting the Fukushima Daiichi Nuclear Power Plant and being heavily affected by the 2011 nuclear disaster.
-
C.
Taira, Fukushima Prefecture, Japan
Taira, located in Fukushima Prefecture, Japan, is a district of the city of Iwaki known as a regional commercial and administrative center.
-
D.
Ōkuma, Fukushima Prefecture
Ōkuma, Fukushima Prefecture is a coastal Japanese town best known as one of the sites hosting the Fukushima Daiichi Nuclear Power Plant and being heavily affected by the 2011 nuclear disaster.
-
E.
Kawauchi, Fukushima Prefecture
Kawauchi is a rural village in Fukushima Prefecture, Japan, known for its forests, agriculture, and post-Fukushima nuclear disaster recovery efforts.
- F. None of above. chosen
Statements (48)
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: Namie, Fukushima Prefecture Description of subject: Namie is a coastal town in Fukushima Prefecture, Japan, that was heavily affected by the 2011 Tōhoku earthquake, tsunami, and Fukushima Daiichi nuclear disaster.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Namie, Fukushima Prefecture
linked to: Namie, Fukushima Prefecture