Prior Analytics
E96927
Prior Analytics is Aristotle’s foundational treatise on formal logic, in which he systematically develops the theory of syllogistic reasoning.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Prior Analytics canonical | 3 |
| Prior Analytics, Book II | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T810049 — 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: Prior Analytics Context triple: [Aristotle, notableWork, Prior Analytics]
-
A.
Decision Analysis
Decision Analysis is a scholarly journal that focuses on the theory and application of quantitative methods for making informed decisions under uncertainty.
-
B.
Bayesian inference
Bayesian inference is a statistical framework that updates the probability of hypotheses as more evidence or data becomes available, using Bayes’ theorem to combine prior beliefs with observed information.
-
C.
tical (historical unit)
The tical was a traditional Thai unit of currency and weight used before the modern baht was introduced.
-
D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
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E.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
- 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: Prior Analytics Target entity description: Prior Analytics is Aristotle’s foundational treatise on formal logic, in which he systematically develops the theory of syllogistic reasoning.
-
A.
Decision Analysis
Decision Analysis is a scholarly journal that focuses on the theory and application of quantitative methods for making informed decisions under uncertainty.
-
B.
Bayesian inference
Bayesian inference is a statistical framework that updates the probability of hypotheses as more evidence or data becomes available, using Bayes’ theorem to combine prior beliefs with observed information.
-
C.
tical (historical unit)
The tical was a traditional Thai unit of currency and weight used before the modern baht was introduced.
-
D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
E.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Aristotelian corpus text
ⓘ
logical work ⓘ philosophical work ⓘ treatise ⓘ |
| author | Aristotle ⓘ |
| canonicalTitleInGreek | Analytika protera ⓘ |
| canonicalTitleInLatin | Analytica Priora ⓘ |
| dateWritten | 4th century BCE ⓘ |
| developsConcept |
axiomatic reasoning
ⓘ
conversion of propositions ⓘ demonstration ⓘ figure of the syllogism ⓘ mood of the syllogism ⓘ reduction of syllogisms ⓘ syllogism ⓘ |
| field |
logic
ⓘ
philosophy ⓘ |
| focusesOn |
categorical syllogisms
ⓘ
formal logic ⓘ logical proof ⓘ validity of arguments ⓘ |
| followedBy | Posterior Analytics ⓘ |
| genre | philosophical logic ⓘ |
| hasCommentaryTradition |
Islamic logicians
ⓘ
late antique commentators ⓘ medieval Latin commentators ⓘ |
| hasKeyTheme |
conditions for valid inference
ⓘ
formalization of reasoning ⓘ structure of arguments ⓘ |
| hasPart |
Prior Analytics, Book I
ⓘ
Prior Analytics self-linksurface differs ⓘ
surface form:
Prior Analytics, Book II
|
| includedIn | standard editions of the Organon ⓘ |
| influenced |
Islamic philosophy
ⓘ
Scholastic philosophy ⓘ medieval logic ⓘ modern formal logic ⓘ |
| languageOfWork | Ancient Greek ⓘ |
| mainSubject |
deductive inference
ⓘ
syllogistic reasoning ⓘ |
| partOf |
Posterior Analytics
ⓘ
surface form:
Organon
|
| positionInSeries | second work in the Organon ⓘ |
| precededBy |
Categories
ⓘ
On Interpretation ⓘ |
| preservedIn | manuscript tradition ⓘ |
| studiedIn |
ancient philosophy
ⓘ
history of logic ⓘ |
| traditionallyCatalogedAs | Aristotle’s logical works ⓘ |
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: Prior Analytics Description of subject: Prior Analytics is Aristotle’s foundational treatise on formal logic, in which he systematically develops the theory of syllogistic reasoning.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Prior Analytics, Book II