Battle
E126973
Battle is a historic market town in East Sussex, England, best known as the site of the 1066 Battle of Hastings.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T1110221 — 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: Battle Context triple: [TN postcode area, hasPostTown, Battle]
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A.
Combat
Combat is an abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of emotional intensity.
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B.
War
War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
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C.
Battle for Land
Battle for Land was a Fascist Italy agricultural and land reclamation initiative aimed at increasing arable land and showcasing the regime’s economic and ideological strength.
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D.
Battle of the Border
The Battle of the Border was the opening series of engagements between German and Polish forces at the start of the 1939 invasion of Poland, marking the beginning of World War II in Europe.
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E.
Battle of the Tenaru
The Battle of the Tenaru was an early World War II clash during the Guadalcanal Campaign in which U.S. Marines repelled a major Japanese assault near Henderson Field, marking a crucial defensive victory in the Pacific Theater.
- 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: Battle Target entity description: Battle is a historic market town in East Sussex, England, best known as the site of the 1066 Battle of Hastings.
-
A.
Combat
Combat is an abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of emotional intensity.
-
B.
War
War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
-
C.
Battle for Land
Battle for Land was a Fascist Italy agricultural and land reclamation initiative aimed at increasing arable land and showcasing the regime’s economic and ideological strength.
-
D.
Battle of the Border
The Battle of the Border was the opening series of engagements between German and Polish forces at the start of the 1939 invasion of Poland, marking the beginning of World War II in Europe.
-
E.
Battle of the Tenaru
The Battle of the Tenaru was an early World War II clash during the Guadalcanal Campaign in which U.S. Marines repelled a major Japanese assault near Henderson Field, marking a crucial defensive victory in the Pacific Theater.
- F. None of above. chosen
Statements (48)
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: Battle Description of subject: Battle is a historic market town in East Sussex, England, best known as the site of the 1066 Battle of Hastings.
Referenced by (25)
Full triples — surface form annotated when it differs from this entity's canonical label.