HKN
E62893
HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| HKN canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T504216 — 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: HKN Context triple: [Hankou Railway Station, hasStationCode, HKN]
-
A.
HKS
HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
-
B.
HeKKSaGOn University Alliance
HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
-
C.
HKS, Inc.
HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
-
D.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
E.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
- 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: HKN Target entity description: HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
-
A.
HKS
HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
-
B.
HeKKSaGOn University Alliance
HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
-
C.
HKS, Inc.
HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
-
D.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
E.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
railway station code ⓘ station code ⓘ |
| appliesTo | Hankou Railway Station ⓘ |
| city | Wuhan ⓘ |
| country | China ⓘ |
| hasStationCode | HKN ⓘ |
| isMajorHub | true ⓘ |
| locatedIn |
China
ⓘ
Hankou Railway Station ⓘ Hubei ⓘ
linked to:
Hubei Province
Wuhan ⓘ |
| partOf |
Wuhan railway hub
ⓘ
linked to:
Hankou Railway Station
|
| railNetwork | China Railway ⓘ |
| serves |
Hankou
ⓘ
linked to:
Wuhan
Wuhan ⓘ |
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: HKN Description of subject: HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
HKN