Sainte-Laguë method
E188686
The Sainte-Laguë method is a highest-averages system of party-list proportional representation that allocates seats more evenly between large and small parties than the d’Hondt method.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Sainte-Laguë method canonical | 3 |
| Webster method | 2 |
| Webster/Sainte-Laguë method | 1 |
| modified Sainte-Laguë method | 1 |
| modified Sainte‑Laguë method | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1660524 — 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: Sainte-Laguë method Context triple: [d’Hondt method, comparedWith, Sainte-Laguë method]
-
A.
d’Hondt method
The d’Hondt method is a highest-averages formula used in proportional representation systems to allocate seats or posts among parties based on their share of the vote.
-
B.
Single Transferable Vote
Single Transferable Vote is a proportional representation electoral system in which voters rank candidates by preference and seats are allocated by transferring votes according to these rankings.
-
C.
congressional district method
The congressional district method is a system for allocating Electoral College votes in which one elector is awarded to the winner of each congressional district and the remaining two electors go to the statewide popular vote winner.
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D.
Mixed-Member Proportional
Mixed-Member Proportional is an electoral system that combines single-member district representation with party-list proportional representation to align a legislature’s overall seat distribution closely with parties’ shares of the popular vote.
-
E.
United States congressional apportionment
United States congressional apportionment is the process of dividing the seats in the U.S. House of Representatives among the states based on population, typically following each decennial census.
- 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: Sainte-Laguë method Target entity description: The Sainte-Laguë method is a highest-averages system of party-list proportional representation that allocates seats more evenly between large and small parties than the d’Hondt method.
-
A.
d’Hondt method
The d’Hondt method is a highest-averages formula used in proportional representation systems to allocate seats or posts among parties based on their share of the vote.
-
B.
Single Transferable Vote
Single Transferable Vote is a proportional representation electoral system in which voters rank candidates by preference and seats are allocated by transferring votes according to these rankings.
-
C.
congressional district method
The congressional district method is a system for allocating Electoral College votes in which one elector is awarded to the winner of each congressional district and the remaining two electors go to the statewide popular vote winner.
-
D.
Mixed-Member Proportional
Mixed-Member Proportional is an electoral system that combines single-member district representation with party-list proportional representation to align a legislature’s overall seat distribution closely with parties’ shares of the popular vote.
-
E.
United States congressional apportionment
United States congressional apportionment is the process of dividing the seats in the U.S. House of Representatives among the states based on population, typically following each decennial census.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
electoral system
ⓘ
highest-averages method ⓘ party-list proportional representation method ⓘ |
| allocates | parliamentary seats ⓘ |
| alsoKnownAs |
Sainte-Laguë method
ⓘ
surface form:
Webster method
Sainte-Laguë method ⓘ
surface form:
Webster/Sainte-Laguë method
method of major fractions ⓘ |
| appliesTo | party lists ⓘ |
| canBeCombinedWith | electoral thresholds ⓘ |
| comparedWith | d’Hondt method ⓘ |
| computes | quotients by dividing party votes by odd-number divisors ⓘ |
| contrastsWith |
Droop quota
ⓘ
largest remainder method ⓘ
surface form:
Hare quota
largest remainder methods ⓘ |
| field |
electoral studies
ⓘ
political science ⓘ social choice theory ⓘ |
| hasAdvantage | reduces bias toward large parties compared with d’Hondt ⓘ |
| hasDisadvantage | can lead to more fragmented party systems than d’Hondt ⓘ |
| hasGoal | proportional representation ⓘ |
| hasProperty |
house monotonicity
ⓘ
population monotonicity (in apportionment context) ⓘ |
| hasVariant |
Webster/Sainte-Laguë with first divisor 1.4
ⓘ
Sainte-Laguë method self-linksurface differs ⓘ
surface form:
modified Sainte-Laguë method
|
| isBasedOn | successive quotients ⓘ |
| isTypeOf | divisor method ⓘ |
| isUsedFor |
legislative elections
ⓘ
parliamentary elections ⓘ |
| isUsedIn |
Bosnia and Herzegovina
ⓘ
Denmark ⓘ
surface form:
Denmark (for some allocations and variants)
Germany (for some elections and levels) ⓘ Latvia ⓘ New Zealand ⓘ Norway ⓘ Sweden ⓘ |
| isUsedUnder |
Mixed-Member Proportional
ⓘ
surface form:
New Zealand MMP system
mixed-member proportional systems (for list seats) ⓘ |
| mathematicallyEquivalentTo | rounding to nearest integer in divisor apportionment ⓘ |
| namedAfter | André Sainte-Laguë ⓘ |
| originatedIn | 20th century ⓘ |
| seatAllocationRule | seats are assigned to the highest quotients across parties ⓘ |
| tendsTo |
allocate seats more evenly between large and small parties than the d’Hondt method
ⓘ
be more proportional than d’Hondt for small parties ⓘ favor medium-sized parties compared with d’Hondt ⓘ |
| usedFor | apportionment of seats among states or regions ⓘ |
| usesDivisors | 1, 3, 5, 7, ... ⓘ |
| usesDivisorSequenceType | odd numbers ⓘ |
| usesMechanism | highest averages ⓘ |
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: Sainte-Laguë method Description of subject: The Sainte-Laguë method is a highest-averages system of party-list proportional representation that allocates seats more evenly between large and small parties than the d’Hondt method.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
modified Sainte‑Laguë method
this entity surface form:
Webster method
this entity surface form:
Webster method
this entity surface form:
Webster/Sainte-Laguë method
this entity surface form:
modified Sainte-Laguë method