Dangan Ressha
E651562
Dangan Ressha is the Japanese nickname meaning "Bullet Train," famously used for the pioneering 0 Series Shinkansen high-speed trains.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dangan Ressha canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7265704 — 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: Dangan Ressha Context triple: [0 Series Shinkansen, nickName, Dangan Ressha]
-
A.
Kibō no Tō
Kibō no Tō was a short-lived Japanese political party founded in 2017 by Tokyo Governor Yuriko Koike as a centrist-to-conservative reformist alternative to the long-ruling Liberal Democratic Party.
-
B.
Shinsekai
Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
-
C.
Nozarashi Kikō
Nozarashi Kikō is a travel diary by the Japanese haiku master Matsuo Bashō that blends prose and verse to chronicle his poetic journey through the countryside.
-
D.
Tairiku Datsū Sakusen
Tairiku Datsū Sakusen was a major 1944 Japanese military offensive in China during World War II, aimed at securing railways, destroying U.S. air bases, and linking Japanese-held territories.
-
E.
Namba Grand Kagetsu
Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
- 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: Dangan Ressha Target entity description: Dangan Ressha is the Japanese nickname meaning "Bullet Train," famously used for the pioneering 0 Series Shinkansen high-speed trains.
-
A.
Kibō no Tō
Kibō no Tō was a short-lived Japanese political party founded in 2017 by Tokyo Governor Yuriko Koike as a centrist-to-conservative reformist alternative to the long-ruling Liberal Democratic Party.
-
B.
Shinsekai
Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
-
C.
Nozarashi Kikō
Nozarashi Kikō is a travel diary by the Japanese haiku master Matsuo Bashō that blends prose and verse to chronicle his poetic journey through the countryside.
-
D.
Tairiku Datsū Sakusen
Tairiku Datsū Sakusen was a major 1944 Japanese military offensive in China during World War II, aimed at securing railways, destroying U.S. air bases, and linking Japanese-held territories.
-
E.
Namba Grand Kagetsu
Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
Japanese term
ⓘ
nickname ⓘ |
| appliedTo |
0 Series Shinkansen
ⓘ
linked to:
0 series Shinkansen
|
| associatedWith |
Shinkansen
ⓘ
high-speed rail ⓘ |
| category | rail transport nickname ⓘ |
| countryOfOrigin | Japan ⓘ |
| describes | high-speed characteristics of the 0 Series Shinkansen ⓘ |
| era | 1960s ⓘ |
| hasWritingSystem |
Japanese kana
ⓘ
Japanese kanji ⓘ |
| language | Japanese ⓘ |
| literalTranslation | Bullet Train ⓘ |
| meaning |
Bullet Train
ⓘ
linked to:
Bullet Train (2022 film)
|
| notableFor | being an early popular nickname for the Shinkansen ⓘ |
| relatedConcept |
Tōkaidō Shinkansen
ⓘ
linked to:
Tokaido Shinkansen
|
| transportMode | railway ⓘ |
| usedFor | pioneering 0 Series Shinkansen high-speed trains ⓘ |
| usedInContext |
Japanese media
ⓘ
railway enthusiast communities ⓘ |
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: Dangan Ressha Description of subject: Dangan Ressha is the Japanese nickname meaning "Bullet Train," famously used for the pioneering 0 Series Shinkansen high-speed trains.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Japanese Shinkansen Series 0 car