MEI.ext
E452745
MEI.ext is an extended version of the Multivariate ENSO Index that reconstructs El Niño–Southern Oscillation variability back to the late 19th century using historical observational data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MEI.ext canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4564780 — 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.ext Context triple: [Multivariate ENSO Index, hasVersion, MEI.ext]
-
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.
Ignite-UX
Ignite-UX is Hewlett-Packard's installation, deployment, and recovery toolset used to manage and automate HP-UX operating system installations on HP servers and workstations.
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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.
Enyo
Enyo is a Greek goddess of war and destruction, often depicted as a close companion and counterpart to the war god Ares.
- 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.ext Target entity description: MEI.ext is an extended version of the Multivariate ENSO Index that reconstructs El Niño–Southern Oscillation variability back to the late 19th century using historical observational data.
-
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.
Ignite-UX
Ignite-UX is Hewlett-Packard's installation, deployment, and recovery toolset used to manage and automate HP-UX operating system installations on HP servers and workstations.
-
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.
Enyo
Enyo is a Greek goddess of war and destruction, often depicted as a close companion and counterpart to the war god Ares.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
El Niño–Southern Oscillation index
ⓘ
climate index ⓘ |
| abbreviationOf | Multivariate ENSO Index Extended NERFINISHED ⓘ |
| acronym | MEI.ext ⓘ |
| appliedIn |
agricultural climate risk assessment
ⓘ
hydrological impact studies ⓘ seasonal climate studies ⓘ |
| basedOn | multivariate climate variables ⓘ |
| characterizes | tropical Pacific climate variability ⓘ |
| comparedWith | Multivariate ENSO Index NERFINISHED ⓘ |
| extends | Multivariate ENSO Index NERFINISHED ⓘ |
| field |
climatology
ⓘ
meteorology ⓘ ocean–atmosphere science ⓘ |
| fullName | Multivariate ENSO Index Extended NERFINISHED ⓘ |
| hasDimension | time series ⓘ |
| quantifies |
phase of ENSO events
ⓘ
strength of ENSO events ⓘ |
| relatedTo |
El Niño
NERFINISHED
ⓘ
El Niño–Southern Oscillation NERFINISHED ⓘ La Niña NERFINISHED ⓘ Southern Oscillation NERFINISHED ⓘ |
| represents | El Niño–Southern Oscillation variability NERFINISHED ⓘ |
| studies | El Niño–Southern Oscillation variability NERFINISHED ⓘ |
| temporalCoverageStart | late 19th century ⓘ |
| usedFor |
climate research
ⓘ
climate variability analysis ⓘ historical ENSO reconstruction ⓘ long-term ENSO statistics ⓘ paleoclimate comparison ⓘ |
| usesDataType | historical observational data ⓘ |
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.ext Description of subject: MEI.ext is an extended version of the Multivariate ENSO Index that reconstructs El Niño–Southern Oscillation variability back to the late 19th century using historical observational data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.