UTS
E583845
UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| UTS canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6314012 — 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: UTS Context triple: [Utsunomiya Station, hasStationNumber, UTS]
-
A.
UTS
UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
-
B.
UTS
UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
-
C.
UTS #35
UTS #35 is a Unicode Technical Standard that defines the Locale Data Markup Language (LDML) used for internationalization data in the Unicode CLDR project.
-
D.
UTS Central
UTS Central is a major contemporary teaching, learning, and student services hub on the University of Technology Sydney campus, known for its distinctive glass design and integration of library and collaborative spaces.
-
E.
UTS #10
UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
- 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: UTS Target entity description: UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
-
A.
UTS
UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
-
B.
UTS
UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
-
C.
UTS #35
UTS #35 is a Unicode Technical Standard that defines the Locale Data Markup Language (LDML) used for internationalization data in the Unicode CLDR project.
-
D.
UTS Central
UTS Central is a major contemporary teaching, learning, and student services hub on the University of Technology Sydney campus, known for its distinctive glass design and integration of library and collaborative spaces.
-
E.
UTS #10
UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
railway station code
ⓘ
train station identifier ⓘ |
| appliesTo | rail transport ⓘ |
| codeFor | Utsunomiya Station NERFINISHED ⓘ |
| country |
Japan
ⓘ
Japan ⓘ |
| hasStationCode | UTS NERFINISHED ⓘ |
| identifies | Utsunomiya Station NERFINISHED ⓘ |
| railwaySystem | Japan NERFINISHED ⓘ |
| usedIn | Japanese railway system ⓘ |
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: UTS Description of subject: UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.