Fermi 2
E417358
Fermi 2 is a boiling water nuclear reactor unit at the Enrico Fermi Nuclear Generating Station in Michigan, used for commercial electricity production.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fermi 2 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4152982 — 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: Fermi 2 Context triple: [Enrico Fermi Nuclear Generating Station, hasReactor, Fermi 2]
-
A.
Fermi
Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
-
B.
Vanguard 2
Vanguard 2 is an early American Earth-orbiting satellite, launched in 1959 to measure cloud cover and improve understanding of Earth’s weather and atmospheric conditions.
-
C.
Helios 2
Helios 2 was a German–French military reconnaissance satellite launched during the Cold War to provide high-resolution imaging intelligence from orbit.
-
D.
Fermi station
Fermi station is a key underground metro station in Collegno, Italy, serving as the western endpoint of Turin Metro’s Line 1.
-
E.
Centauro II
The Centauro II is a modern Italian 8x8 wheeled tank destroyer/armored fighting vehicle featuring enhanced firepower, protection, and mobility compared to its predecessor.
- 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: Fermi 2 Target entity description: Fermi 2 is a boiling water nuclear reactor unit at the Enrico Fermi Nuclear Generating Station in Michigan, used for commercial electricity production.
-
A.
Fermi
Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
-
B.
Vanguard 2
Vanguard 2 is an early American Earth-orbiting satellite, launched in 1959 to measure cloud cover and improve understanding of Earth’s weather and atmospheric conditions.
-
C.
Helios 2
Helios 2 was a German–French military reconnaissance satellite launched during the Cold War to provide high-resolution imaging intelligence from orbit.
-
D.
Fermi station
Fermi station is a key underground metro station in Collegno, Italy, serving as the western endpoint of Turin Metro’s Line 1.
-
E.
Centauro II
The Centauro II is a modern Italian 8x8 wheeled tank destroyer/armored fighting vehicle featuring enhanced firepower, protection, and mobility compared to its predecessor.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
boiling water reactor
ⓘ
commercial nuclear power reactor ⓘ nuclear reactor unit ⓘ |
| adjacentTo | Fermi 1 ⓘ |
| commercialOperationBegan | 1988 ⓘ |
| coolant | light water ⓘ |
| coolingSource | Lake Erie ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| county | Monroe County NERFINISHED ⓘ |
| distanceToDetroit_km | approximately 40 ⓘ |
| electricalCapacity_MWe_gross | 1233 ⓘ |
| electricalCapacity_MWe_net | 1150 ⓘ |
| fuelAssemblyType | BWR fuel assembly ⓘ |
| fuelType | low-enriched uranium ⓘ |
| gridConnection | 1988 ⓘ |
| gridConnectionCountry |
United States
ⓘ
linked to:
United States of America
|
| hasContainment |
primary containment
ⓘ
secondary containment ⓘ |
| hasUnitNumber | 2 ⓘ |
| licensedBy |
United States Nuclear Regulatory Commission
ⓘ
linked to:
U.S. Nuclear Regulatory Commission
|
| locatedIn |
Enrico Fermi Nuclear Generating Station
ⓘ
Frenchtown Charter Township, Michigan ⓘ
linked to:
Frenchtown, Michigan
Michigan ⓘ Monroe County, Michigan NERFINISHED ⓘ United States ⓘ
linked to:
United States of America
|
| moderator | light water ⓘ |
| namedAfter | Enrico Fermi ⓘ |
| nearCity | Monroe, Michigan NERFINISHED ⓘ |
| netCapacityFactor_high | over 90 percent in some years ⓘ |
| operator |
DTE Electric Company
ⓘ
linked to:
DTE Energy
|
| owner |
DTE Electric Company
ⓘ
linked to:
DTE Energy
|
| parentCompany | DTE Energy ⓘ |
| primaryFuel | uranium dioxide ⓘ |
| purpose | baseload power generation ⓘ |
| reactorGeneration | Generation II ⓘ |
| reactorModel | GE BWR-6 ⓘ |
| reactorSupplier | General Electric ⓘ |
| reactorTechnology | light-water reactor ⓘ |
| reactorType | boiling water reactor ⓘ |
| regulatoryAuthority |
United States Nuclear Regulatory Commission
ⓘ
linked to:
U.S. Nuclear Regulatory Commission
|
| safetySystemType | Mark I containment ⓘ |
| state |
Michigan
ⓘ
linked to:
Michigan (most of state)
|
| status | operational ⓘ |
| thermalCapacity_MWt | 3430 ⓘ |
| township | Frenchtown Charter Township ⓘ |
| use | commercial electricity generation ⓘ |
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: Fermi 2 Description of subject: Fermi 2 is a boiling water nuclear reactor unit at the Enrico Fermi Nuclear Generating Station in Michigan, used for commercial electricity production.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.