铁山区
E816468
铁山区 is an industrial and mining-focused urban district under the jurisdiction of Huangshi City in Hubei Province, China.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T9721962 — 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: 铁山区 Context triple: [Tieshan District, hasNameInChinese, 铁山区]
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A.
大冶市
大冶市 is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal smelting industry.
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B.
黄石港区
黄石港区 is an urban district of Huangshi City in Hubei Province, China, known as one of the city’s central administrative and commercial areas along the Yangtze River.
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C.
张湾区
张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一，以工业基础和城市综合功能较为发达而著称。
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D.
竹山县
竹山县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地生态和茶叶等农业资源闻名的县级行政区。
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E.
房县
房县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地风光和汉水支流生态资源著称的县级行政区。
- 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: 铁山区 Target entity description: 铁山区 is an industrial and mining-focused urban district under the jurisdiction of Huangshi City in Hubei Province, China.
-
A.
大冶市
大冶市 is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal smelting industry.
-
B.
黄石港区
黄石港区 is an urban district of Huangshi City in Hubei Province, China, known as one of the city’s central administrative and commercial areas along the Yangtze River.
-
C.
张湾区
张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一，以工业基础和城市综合功能较为发达而著称。
-
D.
竹山县
竹山县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地生态和茶叶等农业资源闻名的县级行政区。
-
E.
房县
房县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地风光和汉水支流生态资源著称的县级行政区。
- F. None of above. chosen
Statements (44)
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: 铁山区 Description of subject: 铁山区 is an industrial and mining-focused urban district under the jurisdiction of Huangshi City in Hubei Province, China.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: 铁山区