Fengfeng Mining District
E345073
Fengfeng Mining District is an administrative district of Handan in Hebei Province, China, historically centered around coal mining and related heavy industry.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Fengfeng Mining District canonical | 1 |
| fengfeng mining district | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3291398 — 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: Fengfeng Mining District Context triple: [Handan, hasDistrict, Fengfeng Mining District]
-
A.
Sihui
Sihui is a major Beijing Subway station in eastern Beijing that serves as a key interchange and endpoint for multiple metro lines.
-
B.
Uyui District
Uyui District is an administrative district located within Tanzania's Tabora Region, known for its predominantly rural communities and agricultural activities.
-
C.
Xisaishan District
Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
-
D.
Laiyuan
Laiyuan was a late 19th-century Chinese armored cruiser of the Beiyang Fleet that fought in the First Sino-Japanese War.
-
E.
Yosa District
Yosa District is a rural administrative district in northern Kyoto Prefecture, Japan, known for its coastal landscapes along the Sea of Japan and traditional fishing and farming communities.
- 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: Fengfeng Mining District Target entity description: Fengfeng Mining District is an administrative district of Handan in Hebei Province, China, historically centered around coal mining and related heavy industry.
-
A.
Sihui
Sihui is a major Beijing Subway station in eastern Beijing that serves as a key interchange and endpoint for multiple metro lines.
-
B.
Uyui District
Uyui District is an administrative district located within Tanzania's Tabora Region, known for its predominantly rural communities and agricultural activities.
-
C.
Xisaishan District
Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
-
D.
Laiyuan
Laiyuan was a late 19th-century Chinese armored cruiser of the Beiyang Fleet that fought in the First Sino-Japanese War.
-
E.
Yosa District
Yosa District is a rural administrative district in northern Kyoto Prefecture, Japan, known for its coastal landscapes along the Sea of Japan and traditional fishing and farming communities.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
administrative district
ⓘ
district of Handan ⓘ |
| administrativeDivisionOf |
Hebei Province
ⓘ
linked to:
Hebei
|
| administrativeLevel | county-level district ⓘ |
| country | China ⓘ |
| economicRole | industrial base of Handan ⓘ |
| governingCity | Handan ⓘ |
| hasResource | coal ⓘ |
| historicalEconomicBase |
coal mining
ⓘ
heavy industry ⓘ |
| language | Standard Chinese ⓘ |
| locatedIn |
North China Plain
ⓘ
People's Republic of China ⓘ
linked to:
China
|
| partOf |
Handan
ⓘ
Hebei Province ⓘ
linked to:
Hebei
North China ⓘ |
| primaryIndustry |
coal mining
ⓘ
coal processing ⓘ related heavy industry ⓘ |
| province | Hebei ⓘ |
| regionType | urban district ⓘ |
| subdivisionOf | Handan City ⓘ |
| timeZone | China Standard Time ⓘ |
| utcOffset | +8 ⓘ |
| writingSystem | Simplified Chinese ⓘ |
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: Fengfeng Mining District Description of subject: Fengfeng Mining District is an administrative district of Handan in Hebei Province, China, historically centered around coal mining and related heavy industry.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Fengfeng Mining District