Quantitative Reasoning
E61654
Quantitative Reasoning is a section of the GRE that evaluates a test taker’s ability to understand, interpret, and analyze quantitative information and solve problems using mathematical concepts.
All labels observed (2)
| Label | Occurrences |
|---|---|
| GRE Quantitative Reasoning | 1 |
| Quantitative Reasoning canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T495097 — 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: Quantitative Reasoning Context triple: [GRE, hasSection, Quantitative Reasoning]
-
A.
Verbal Reasoning
Verbal Reasoning is a standardized test section that evaluates a person's ability to read, understand, and logically analyze written material, often in the context of graduate admissions exams.
-
B.
Principles of Mathematics
Principles of Mathematics is Bertrand Russell’s foundational work in mathematical logic and the philosophy of mathematics, arguing that mathematics can be derived from purely logical principles.
-
C.
Numbers
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
-
D.
Logic and Knowledge
Logic and Knowledge is a collection of philosophical and logical essays by Bertrand Russell that includes influential papers on language, logic, and epistemology.
-
E.
Quantitative Economics
Quantitative Economics is a peer-reviewed open-access journal of the Econometric Society that publishes research in econometrics and quantitative economic theory.
- 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: Quantitative Reasoning Target entity description: Quantitative Reasoning is a section of the GRE that evaluates a test taker’s ability to understand, interpret, and analyze quantitative information and solve problems using mathematical concepts.
-
A.
Verbal Reasoning
Verbal Reasoning is a standardized test section that evaluates a person's ability to read, understand, and logically analyze written material, often in the context of graduate admissions exams.
-
B.
Principles of Mathematics
Principles of Mathematics is Bertrand Russell’s foundational work in mathematical logic and the philosophy of mathematics, arguing that mathematics can be derived from purely logical principles.
-
C.
Numbers
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
-
D.
Logic and Knowledge
Logic and Knowledge is a collection of philosophical and logical essays by Bertrand Russell that includes influential papers on language, logic, and epistemology.
-
E.
Quantitative Economics
Quantitative Economics is a peer-reviewed open-access journal of the Econometric Society that publishes research in econometrics and quantitative economic theory.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
GRE section
ⓘ
standardized test component ⓘ |
| administeredBy |
Educational Testing Service
ⓘ
linked to:
Educational Testing Service (nearby campus)
|
| alsoKnownAs |
GRE Quantitative Reasoning
ⓘ
linked to:
Quantitative Reasoning
|
| assumesBackground | high school level mathematics ⓘ |
| doesNotRequire | advanced college mathematics ⓘ |
| evaluatesAbility |
analyze quantitative information
ⓘ
interpret quantitative information ⓘ solve quantitative problems ⓘ understand quantitative information ⓘ |
| focusesOn | reasoning skills rather than memorized formulas ⓘ |
| hasDifficultyRange | easy to difficult quantitative problems ⓘ |
| includesContentArea |
coordinate geometry
ⓘ
counting and combinatorics ⓘ data interpretation ⓘ descriptive statistics ⓘ exponents and roots ⓘ inequalities ⓘ linear equations ⓘ percentages ⓘ plane geometry ⓘ probability ⓘ quadratic equations ⓘ rates and work ⓘ ratio and proportion ⓘ word problems ⓘ |
| languageOfQuestions | English ⓘ |
| measuresSkill |
application of basic mathematical concepts
ⓘ
mathematical modeling ⓘ quantitative reasoning under time constraints ⓘ |
| partOf |
Graduate Record Examination
ⓘ
linked to:
GRE
|
| questionFormat |
multiple choice
ⓘ
numeric entry ⓘ |
| questionType |
multiple choice one or more answers
ⓘ
multiple choice single answer ⓘ numeric entry question ⓘ quantitative comparison ⓘ |
| requires |
interpretation of graphs and tables
ⓘ
logical reasoning with quantities ⓘ numerical computation ⓘ |
| scoreContributesTo | overall GRE score ⓘ |
| targetTestTakers | prospective graduate students ⓘ |
| testFormat | computer-delivered GRE ⓘ |
| usedFor |
business school admissions
ⓘ
graduate school admissions ⓘ |
| usesConceptsFrom |
algebra
ⓘ
arithmetic ⓘ data analysis ⓘ geometry ⓘ |
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: Quantitative Reasoning Description of subject: Quantitative Reasoning is a section of the GRE that evaluates a test taker’s ability to understand, interpret, and analyze quantitative information and solve problems using mathematical concepts.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Quantitative Reasoning