Berkeley Earth Surface Temperature project
E731391
The Berkeley Earth Surface Temperature project is a scientific initiative that independently analyzes and reconstructs global land and ocean temperature records to better understand climate change.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Berkeley Earth | 1 |
| Berkeley Earth Surface Temperature project canonical | 1 |
| Berkeley Earth surface temperature record | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8407916 — 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: Berkeley Earth Surface Temperature project Context triple: [Richard Muller, notableWork, Berkeley Earth Surface Temperature project]
-
A.
GISTEMP global surface temperature record
The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
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B.
Keeling Curve
The Keeling Curve is a long-term graph of atmospheric carbon dioxide concentrations measured at Mauna Loa Observatory that has become a key indicator of human-driven climate change.
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C.
Global 30 Project
The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
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D.
Forest Global Earth Observatory
Forest Global Earth Observatory is an international research network that monitors long-term dynamics of forest ecosystems across the globe to understand biodiversity, climate impacts, and forest health.
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E.
CERES
CERES (Clouds and the Earth's Radiant Energy System) is a satellite instrument designed to measure the Earth's radiation budget and study how clouds and aerosols affect the climate system.
- 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: Berkeley Earth Surface Temperature project Target entity description: The Berkeley Earth Surface Temperature project is a scientific initiative that independently analyzes and reconstructs global land and ocean temperature records to better understand climate change.
-
A.
GISTEMP global surface temperature record
The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
-
B.
Keeling Curve
The Keeling Curve is a long-term graph of atmospheric carbon dioxide concentrations measured at Mauna Loa Observatory that has become a key indicator of human-driven climate change.
-
C.
Global 30 Project
The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
-
D.
Forest Global Earth Observatory
Forest Global Earth Observatory is an international research network that monitors long-term dynamics of forest ecosystems across the globe to understand biodiversity, climate impacts, and forest health.
-
E.
CERES
CERES (Clouds and the Earth's Radiant Energy System) is a satellite instrument designed to measure the Earth's radiation budget and study how clouds and aerosols affect the climate system.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
climate data analysis project
ⓘ
nonprofit research organization ⓘ scientific research initiative ⓘ |
| aimsTo |
improve understanding of climate change
ⓘ
independently analyze global temperature data ⓘ provide open climate data to the public ⓘ reconstruct historical temperature records ⓘ |
| comparesWith |
HadCRUT temperature dataset
NERFINISHED
ⓘ
NASA GISTEMP NERFINISHED ⓘ NOAA global temperature dataset NERFINISHED ⓘ |
| concludes |
Earth has warmed significantly since the mid-20th century
ⓘ
recent global warming is consistent with human-caused greenhouse gas emissions ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataAccessibility |
freely available datasets
ⓘ
open data ⓘ |
| dataFormat |
gridded NetCDF files
ⓘ
tabular text files ⓘ |
| dataSource |
buoy measurements
ⓘ
existing global temperature datasets ⓘ land weather stations ⓘ ocean measurements ⓘ ship-based observations ⓘ |
| field |
climate science
ⓘ
climatology ⓘ environmental science ⓘ |
| focusesOn |
climate change
ⓘ
global temperature records ⓘ global warming ⓘ land surface temperature ⓘ sea surface temperature ⓘ |
| hasOutput |
air pollution exposure datasets
ⓘ
country-level climate summaries ⓘ global mean temperature anomaly series ⓘ regional temperature analyses ⓘ |
| hasWebsite | http://berkeleyearth.org ⓘ |
| publishes |
global temperature time series
ⓘ
gridded temperature fields ⓘ summary reports on climate trends ⓘ |
| relatedTo |
Intergovernmental Panel on Climate Change
NERFINISHED
ⓘ
climate policy discussions ⓘ |
| supports | scientific consensus on global warming ⓘ |
| targetAudience |
general public
ⓘ
policymakers ⓘ scientists ⓘ |
| timeCoverage |
industrial era to present
ⓘ
mid-18th century to present ⓘ |
| usesMethod |
data homogenization
ⓘ
quality control of station records ⓘ statistical analysis of temperature records ⓘ |
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: Berkeley Earth Surface Temperature project Description of subject: The Berkeley Earth Surface Temperature project is a scientific initiative that independently analyzes and reconstructs global land and ocean temperature records to better understand climate change.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Richard Muller
subject surface form:
Richard Muller
this entity surface form:
Berkeley Earth
GISTEMP global surface temperature record
→
comparedWith
→
Berkeley Earth Surface Temperature project
ⓘ
this entity surface form:
Berkeley Earth surface temperature record