Booth poverty maps
E495594
Booth poverty maps are pioneering late-19th-century social surveys of London that visually documented the geographic distribution of wealth and poverty across the city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Booth poverty maps canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5139205 — 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: Booth poverty maps Context triple: [Charles Booth, knownFor, Booth poverty maps]
-
A.
Multidimensional Poverty Index
The Multidimensional Poverty Index is a global measure that assesses poverty by capturing multiple deprivations in health, education, and living standards at the household and individual level.
-
B.
Hoovervilles
Hoovervilles were makeshift shantytowns built by homeless and unemployed people across the United States during the Great Depression, symbolizing the era’s severe economic hardship and government inaction.
-
C.
Alkire-Foster method
The Alkire-Foster method is a widely used framework for measuring multidimensional poverty by identifying who is poor and in which overlapping deprivations they experience across several dimensions of well-being.
-
D.
This Census-Taker
This Census-Taker is a short, enigmatic fantasy novella by China Miéville that follows a traumatized boy in a bleak, otherworldly landscape as he confronts the mystery of his parents and a sinister census-taker.
-
E.
L'Extinction du paupérisme
L'Extinction du paupérisme is a political and social treatise proposing measures to eliminate poverty in 19th-century France.
- 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: Booth poverty maps Target entity description: Booth poverty maps are pioneering late-19th-century social surveys of London that visually documented the geographic distribution of wealth and poverty across the city.
-
A.
Multidimensional Poverty Index
The Multidimensional Poverty Index is a global measure that assesses poverty by capturing multiple deprivations in health, education, and living standards at the household and individual level.
-
B.
Hoovervilles
Hoovervilles were makeshift shantytowns built by homeless and unemployed people across the United States during the Great Depression, symbolizing the era’s severe economic hardship and government inaction.
-
C.
Alkire-Foster method
The Alkire-Foster method is a widely used framework for measuring multidimensional poverty by identifying who is poor and in which overlapping deprivations they experience across several dimensions of well-being.
-
D.
This Census-Taker
This Census-Taker is a short, enigmatic fantasy novella by China Miéville that follows a traumatized boy in a bleak, otherworldly landscape as he confronts the mystery of his parents and a sinister census-taker.
-
E.
L'Extinction du paupérisme
L'Extinction du paupérisme is a political and social treatise proposing measures to eliminate poverty in 19th-century France.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
historical document
ⓘ
social survey ⓘ thematic map series ⓘ |
| appliesToJurisdiction |
London
ⓘ
linked to:
London, England
|
| archiveAt |
British Library
ⓘ
London School of Economics ⓘ |
| basedOn |
empirical fieldwork
ⓘ
statistical analysis of income and occupation ⓘ |
| cartographicType |
choropleth map
ⓘ
street-level map ⓘ |
| colorScheme |
black for lowest class
ⓘ
dark blue for very poor ⓘ light blue for poor ⓘ pink for fairly comfortable ⓘ purple for mixed classes ⓘ red for well-to-do ⓘ yellow for wealthy ⓘ |
| country | United Kingdom ⓘ |
| creator | Charles Booth ⓘ |
| depicts |
geographic distribution of poverty in London
ⓘ
geographic distribution of wealth in London ⓘ middle-class districts ⓘ upper-class districts ⓘ working-class districts ⓘ |
| describedBySource | Life and Labour of the People in London ⓘ |
| genre |
social investigation
ⓘ
urban study ⓘ |
| hasDigitalRepresentation | online digitised maps ⓘ |
| hasInfluenced |
modern urban sociology
ⓘ
poverty research ⓘ social cartography ⓘ urban planning ⓘ |
| historicalPeriod | Victorian era ⓘ |
| inception | 1886 ⓘ |
| language | English ⓘ |
| location |
London
ⓘ
linked to:
London, England
|
| mainSubject |
poverty
ⓘ
social conditions in London ⓘ wealth distribution ⓘ |
| partOf | Life and Labour of the People in London ⓘ |
| publicationDate | 1889 ⓘ |
| significantFor |
early use of GIS-like spatial analysis
ⓘ
pioneering visualisation of social inequality ⓘ |
| timePeriod | late 19th century ⓘ |
| uses |
color-coded classification of social classes
ⓘ
house-to-house surveys ⓘ interviews with local clergy ⓘ interviews with school board visitors ⓘ |
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: Booth poverty maps Description of subject: Booth poverty maps are pioneering late-19th-century social surveys of London that visually documented the geographic distribution of wealth and poverty across the city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.