Mount Nantai
E304336
Mount Nantai is a prominent stratovolcano in Japan known as a sacred mountain of Shinto and a scenic landmark near Lake Chūzenji in Nikkō.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mount Nantai canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T2814300 — 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: Mount Nantai Context triple: [Kantō region, containsVolcano, Mount Nantai]
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A.
Mount Katsuragi
Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
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B.
Mount Kita
Mount Kita is Japan's second-highest mountain, a prominent peak in the Akaishi Mountains renowned for its alpine scenery and popular hiking routes.
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C.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
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D.
Mount Moiwa
Mount Moiwa is a forested mountain on the outskirts of Sapporo, Japan, famous for its ropeway, ski area, and panoramic night views over the city.
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E.
Mount Hachiman
Mount Hachiman is a scenic hill in Ōmihachiman, Shiga Prefecture, known for its historical significance, hiking trails, and panoramic views over the city and Lake Biwa.
- 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: Mount Nantai Target entity description: Mount Nantai is a prominent stratovolcano in Japan known as a sacred mountain of Shinto and a scenic landmark near Lake Chūzenji in Nikkō.
-
A.
Mount Katsuragi
Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
-
B.
Mount Kita
Mount Kita is Japan's second-highest mountain, a prominent peak in the Akaishi Mountains renowned for its alpine scenery and popular hiking routes.
-
C.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
-
D.
Mount Moiwa
Mount Moiwa is a forested mountain on the outskirts of Sapporo, Japan, famous for its ropeway, ski area, and panoramic night views over the city.
-
E.
Mount Hachiman
Mount Hachiman is a scenic hill in Ōmihachiman, Shiga Prefecture, known for its historical significance, hiking trails, and panoramic views over the city and Lake Biwa.
- F. None of above. chosen
Statements (47)
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: Mount Nantai Description of subject: Mount Nantai is a prominent stratovolcano in Japan known as a sacred mountain of Shinto and a scenic landmark near Lake Chūzenji in Nikkō.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.