Lounsbury correlation
E153791
Lounsbury correlation is a proposed scholarly alignment of the Maya Long Count calendar with the Gregorian calendar that offers an alternative to the widely used Goodman–Martínez–Thompson correlation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lounsbury correlation canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1350774 — 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: Lounsbury correlation Context triple: [Long Count calendar, hasAlternativeCorrelation, Lounsbury correlation]
-
A.
Lorentz–Lorenz equation
The Lorentz–Lorenz equation is a fundamental relation in optics and electromagnetism that connects a material’s refractive index to its molecular polarizability and density.
-
B.
Darwin–Fowler method
The Darwin–Fowler method is a statistical mechanics technique that uses complex analysis and generating functions to derive distribution laws for systems of many particles.
-
C.
Longuet-Higgins
Longuet-Higgins is the surname of a notable British family that includes influential figures in theoretical chemistry, cognitive science, and mathematics.
-
D.
Einstein bed-load function
The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
-
E.
Gundersen method
The Gundersen method is a timing-based system in Nordic combined that converts ski jumping results into staggered start times for the cross-country race so that the first athlete to finish wins overall.
- 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: Lounsbury correlation Target entity description: Lounsbury correlation is a proposed scholarly alignment of the Maya Long Count calendar with the Gregorian calendar that offers an alternative to the widely used Goodman–Martínez–Thompson correlation.
-
A.
Lorentz–Lorenz equation
The Lorentz–Lorenz equation is a fundamental relation in optics and electromagnetism that connects a material’s refractive index to its molecular polarizability and density.
-
B.
Darwin–Fowler method
The Darwin–Fowler method is a statistical mechanics technique that uses complex analysis and generating functions to derive distribution laws for systems of many particles.
-
C.
Longuet-Higgins
Longuet-Higgins is the surname of a notable British family that includes influential figures in theoretical chemistry, cognitive science, and mathematics.
-
D.
Einstein bed-load function
The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
-
E.
Gundersen method
The Gundersen method is a timing-based system in Nordic combined that converts ski jumping results into staggered start times for the cross-country race so that the first athlete to finish wins overall.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Maya calendar correlation
ⓘ
chronological correlation ⓘ scholarly hypothesis ⓘ |
| aimsTo | improve alignment of historical and astronomical events in Maya records ⓘ |
| alternativeTo | Goodman–Martínez–Thompson correlation ⓘ |
| appliesTo |
Maya Long Count calendar
ⓘ
linked to:
Mesoamerican Long Count calendar
|
| basedOn |
astronomical evidence
ⓘ
epigraphic evidence ⓘ historical analysis ⓘ |
| calendarType | proleptic Gregorian calendar ⓘ |
| comparedWith | Goodman–Martínez–Thompson correlation ⓘ |
| concerns | conversion of Long Count dates to Gregorian dates ⓘ |
| contrastsWith | GMT correlation constant ⓘ |
| field |
Maya epigraphy
ⓘ
Mesoamerican chronology ⓘ archaeoastronomy ⓘ |
| hasSubject |
Maya calendar
ⓘ
Maya chronology ⓘ
linked to:
Maya epigraphy
|
| languageContext | Classic Maya inscriptions ⓘ |
| namedAfter | Floyd Lounsbury ⓘ |
| proposedBy | Floyd Lounsbury ⓘ |
| region | Mesoamerica ⓘ |
| relatesTo |
Gregorian calendar
ⓘ
linked to:
Gregorian calendar (Western churches)
|
| status |
minority correlation in Maya studies
ⓘ
not universally accepted ⓘ |
| timeSystem | Long Count ⓘ |
| topicOf | scholarly debate ⓘ |
| usedBy | some Maya epigraphers ⓘ |
| usedFor |
aligning Maya Long Count dates with Gregorian dates
ⓘ
dating Maya inscriptions ⓘ |
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: Lounsbury correlation Description of subject: Lounsbury correlation is a proposed scholarly alignment of the Maya Long Count calendar with the Gregorian calendar that offers an alternative to the widely used Goodman–Martínez–Thompson correlation.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.