MEI
E452744
MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T4564751 — 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: MEI Context triple: [Multivariate ENSO Index, abbreviation, MEI]
-
A.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
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B.
MEEI
MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
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C.
MITEI
MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
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D.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
E.
MEF
MEF is Italy’s Ministry of Economy and Finance, the government department responsible for national economic policy, public finances, and the state budget.
- 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: MEI Target entity description: MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
-
A.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
-
B.
MEEI
MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
-
C.
MITEI
MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
-
D.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
E.
MEF
MEF is Italy’s Ministry of Economy and Finance, the government department responsible for national economic policy, public finances, and the state budget.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
El Niño–Southern Oscillation index
ⓘ
climate index ⓘ |
| abbreviationOf | Multivariate ENSO Index NERFINISHED ⓘ |
| basedOn |
multiple atmospheric variables
ⓘ
multiple oceanic variables ⓘ |
| basedOnRegion | tropical Pacific Ocean ⓘ |
| captures | combined ocean-atmosphere state over tropical Pacific ⓘ |
| category |
Earth science
ⓘ
climatology ⓘ ocean-atmosphere interaction index ⓘ |
| dataSource |
observational climate records
ⓘ
reanalysis data ⓘ |
| developedAt |
NOAA Earth System Research Laboratory
NERFINISHED
ⓘ
Physical Sciences Laboratory (NOAA) NERFINISHED ⓘ |
| developedBy |
Klaus Wolter
NERFINISHED
ⓘ
Michael S. Timlin NERFINISHED ⓘ |
| fullName | Multivariate ENSO Index NERFINISHED ⓘ |
| hasVersion |
MEI.ext
ⓘ
MEI.v2 ⓘ |
| improvesOn | single-variable ENSO indices ⓘ |
| maintainedBy | NOAA NERFINISHED ⓘ |
| measures | El Niño–Southern Oscillation NERFINISHED ⓘ |
| outputUnit | standardized anomaly index ⓘ |
| phaseIndicatedBy |
negative values indicate La Niña conditions
ⓘ
positive values indicate El Niño conditions ⓘ |
| publicationType | peer-reviewed methodology ⓘ |
| quantifies |
phase of ENSO
ⓘ
strength of ENSO ⓘ |
| relatedTo |
Niño 3.4 index
NERFINISHED
ⓘ
Oceanic Niño Index NERFINISHED ⓘ Southern Oscillation Index NERFINISHED ⓘ |
| spatialDomain |
equatorial Pacific
ⓘ
tropical Pacific ⓘ |
| timeScale | bimonthly ⓘ |
| usedBy |
climate scientists
ⓘ
operational climate centers ⓘ weather and climate services ⓘ |
| usedFor |
climate diagnostics
ⓘ
climate research ⓘ monitoring ENSO ⓘ seasonal climate prediction ⓘ |
| usesVariable |
cloudiness
ⓘ
meridional wind ⓘ sea surface temperature ⓘ sea-level pressure ⓘ surface air temperature ⓘ zonal wind ⓘ |
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: MEI Description of subject: MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
MEI.v2