Raniganj coalfield
E169844
Raniganj coalfield is one of India’s oldest and most significant coal mining regions, located primarily in West Bengal and Jharkhand.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Raniganj coalfield canonical | 3 |
| Raniganj coalfield (adjacent region influence) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1456687 — 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: Raniganj coalfield Context triple: [Eastern India, hasImportantCoalfield, Raniganj coalfield]
-
A.
Jharia coalfield
Jharia coalfield is one of India’s largest and oldest coal mining regions, renowned for its rich coking coal reserves and long-standing underground coal fires.
-
B.
Tamluk
Tamluk is a historic town in eastern India known as an ancient port city and administrative center in the Purba Medinipur district of West Bengal.
-
C.
Asansol
Asansol is a major industrial and coal-mining city in eastern India, known as one of the largest urban centers in the state of West Bengal.
-
D.
Bastar region
The Bastar region is a culturally rich and forested tribal area in the southern part of Chhattisgarh, India, known for its indigenous communities, traditional arts, and mineral resources.
-
E.
Jamshedpur industrial region
Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
- 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: Raniganj coalfield Target entity description: Raniganj coalfield is one of India’s oldest and most significant coal mining regions, located primarily in West Bengal and Jharkhand.
-
A.
Jharia coalfield
Jharia coalfield is one of India’s largest and oldest coal mining regions, renowned for its rich coking coal reserves and long-standing underground coal fires.
-
B.
Tamluk
Tamluk is a historic town in eastern India known as an ancient port city and administrative center in the Purba Medinipur district of West Bengal.
-
C.
Asansol
Asansol is a major industrial and coal-mining city in eastern India, known as one of the largest urban centers in the state of West Bengal.
-
D.
Bastar region
The Bastar region is a culturally rich and forested tribal area in the southern part of Chhattisgarh, India, known for its indigenous communities, traditional arts, and mineral resources.
-
E.
Jamshedpur industrial region
Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
coal mining region
ⓘ
coalfield ⓘ |
| administrativeRegion |
Bankura district
ⓘ
Birbhum district ⓘ Dhanbad district ⓘ
linked to:
Dhanbad
Paschim Bardhaman district ⓘ |
| coalMeasure |
Barakar Formation
ⓘ
Raniganj Formation ⓘ |
| containsCity | Asansol ⓘ |
| containsTown |
Barakar
ⓘ
Durgapur ⓘ Jamuria ⓘ Kulti ⓘ Raniganj ⓘ |
| country | India ⓘ |
| economicImportance |
major source of thermal coal for power generation in eastern India
ⓘ
supports steel and cement industries ⓘ |
| energyRole | important contributor to India’s coal-based energy supply ⓘ |
| environmentalIssue |
air pollution from coal mining and industries
ⓘ
land subsidence ⓘ water pollution from mine effluents ⓘ |
| firstCommercialMiningStartedBy |
British colonial enterprises
ⓘ
linked to:
British East India Company
|
| firstCommercialMiningStartedIn | 19th century ⓘ |
| geologicalAge | Permian ⓘ |
| geologicalBasin |
Damodar Valley Basin
ⓘ
linked to:
Damodar River
|
| hasMiningMethod |
opencast mining
ⓘ
underground mining ⓘ |
| historicalSignificance | site of early commercial coal mining in India ⓘ |
| industrialRegion |
Asansol–Durgapur industrial belt
ⓘ
linked to:
Durgapur-Asansol industrial belt
|
| knownFor |
being one of the oldest coalfields in India
ⓘ
coal mining ⓘ high-quality non-coking coal ⓘ |
| laborIssue | presence of large organized and unorganized mining workforce ⓘ |
| locatedIn |
Jharkhand
ⓘ
West Bengal ⓘ eastern India ⓘ |
| namedAfter | Raniganj ⓘ |
| nearestMajorCity | Asansol ⓘ |
| nearestTown | Raniganj ⓘ |
| operator | Eastern Coalfields Limited ⓘ |
| ownedBy | Coal India Limited ⓘ |
| partOf | Damodar Valley coalfields ⓘ |
| regionType | industrial and mining belt ⓘ |
| resourceType | bituminous coal ⓘ |
| safetyIssue | mine accidents risk ⓘ |
| transportServedBy |
Grand Trunk Road
ⓘ
Howrah–Delhi main railway line ⓘ
linked to:
Howrah–Delhi main line
|
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: Raniganj coalfield Description of subject: Raniganj coalfield is one of India’s oldest and most significant coal mining regions, located primarily in West Bengal and Jharkhand.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.