IRSTEA
E923408
IRSTEA was a French public research institute specializing in environmental science, water management, and agricultural engineering before merging into INRAE.
All labels observed (1)
| Label | Occurrences |
|---|---|
| IRSTEA canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T11387891 — 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: IRSTEA Context triple: [INRAE, predecessor, IRSTEA]
-
A.
Earth Resources Laboratory
Earth Resources Laboratory is a research center at MIT focused on applying geophysical and related sciences to the exploration and sustainable management of Earth’s natural resources.
-
B.
Natural Resources Conservation Service
The Natural Resources Conservation Service is a U.S. federal agency that provides technical and financial assistance to farmers, ranchers, and landowners to conserve soil, water, and other natural resources on private lands.
-
C.
Ecosystems Research and Development Bureau
The Ecosystems Research and Development Bureau is a Philippine government agency focused on conducting research and developing technologies for the sustainable management and conservation of the country’s ecosystems and natural resources.
-
D.
United States Geological Survey
The United States Geological Survey is a U.S. government scientific agency that studies and monitors natural resources and natural hazards such as earthquakes, volcanoes, and water resources.
-
E.
Geophysical Service Incorporated
Geophysical Service Incorporated was an early geophysical exploration company that evolved into Texas Instruments, playing a foundational role in the development of modern electronics and semiconductor technology.
- 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: IRSTEA Target entity description: IRSTEA was a French public research institute specializing in environmental science, water management, and agricultural engineering before merging into INRAE.
-
A.
Earth Resources Laboratory
Earth Resources Laboratory is a research center at MIT focused on applying geophysical and related sciences to the exploration and sustainable management of Earth’s natural resources.
-
B.
Natural Resources Conservation Service
The Natural Resources Conservation Service is a U.S. federal agency that provides technical and financial assistance to farmers, ranchers, and landowners to conserve soil, water, and other natural resources on private lands.
-
C.
Ecosystems Research and Development Bureau
The Ecosystems Research and Development Bureau is a Philippine government agency focused on conducting research and developing technologies for the sustainable management and conservation of the country’s ecosystems and natural resources.
-
D.
United States Geological Survey
The United States Geological Survey is a U.S. government scientific agency that studies and monitors natural resources and natural hazards such as earthquakes, volcanoes, and water resources.
-
E.
Geophysical Service Incorporated
Geophysical Service Incorporated was an early geophysical exploration company that evolved into Texas Instruments, playing a foundational role in the development of modern electronics and semiconductor technology.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
public research institute
ⓘ
research organization ⓘ |
| collaboratesWith |
engineering schools
ⓘ
private companies ⓘ public agencies ⓘ universities ⓘ |
| country | France ⓘ |
| dissolutionReason | merger with INRA to form INRAE ⓘ |
| dissolvedInto | INRAE ⓘ |
| employerType | public sector ⓘ |
| fieldOfWork |
agricultural engineering
ⓘ
ecology ⓘ environmental science ⓘ environmental technologies ⓘ hydrology ⓘ natural risk management ⓘ sustainable agriculture ⓘ water management ⓘ |
| fullName |
Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture
ⓘ
linked to:
INRAE
|
| fundingSource | public funding ⓘ |
| headquartersLocation |
Antony, Hauts-de-Seine
ⓘ
Paris region ⓘ
linked to:
Paris region, France
|
| jurisdiction | France ⓘ |
| languageOfWork |
English
ⓘ
French ⓘ |
| locatedIn | France ⓘ |
| mergedInto | INRAE ⓘ |
| mergerPartner |
INRA
ⓘ
linked to:
INRAE
|
| mission | to develop knowledge and technologies for sustainable management of land, water, and agricultural resources ⓘ |
| name | IRSTEA ⓘ |
| operatedBy |
French government
ⓘ
linked to:
Government of France
|
| originalName | Cemagref ⓘ |
| parentOrganization |
French Ministry of Agriculture
ⓘ
French Ministry of Ecology ⓘ
linked to:
French Ministry for the Environment
|
| researchFocus |
agricultural systems
ⓘ
biodiversity ⓘ climate change impacts ⓘ flood risk ⓘ irrigation ⓘ land use planning ⓘ soil conservation ⓘ waste and pollution management ⓘ water resources ⓘ |
| sector |
agriculture
ⓘ
environment ⓘ water ⓘ |
| successorOrganization | INRAE ⓘ |
| typeOfOrganization | applied research institute ⓘ |
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: IRSTEA Description of subject: IRSTEA was a French public research institute specializing in environmental science, water management, and agricultural engineering before merging into INRAE.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.