N011M Bars
E578335
N011M Bars is a Russian-made, multi-mode passive electronically scanned array (PESA) radar system designed primarily for advanced fighter aircraft.
All labels observed (1)
| Label | Occurrences |
|---|---|
| N011M Bars canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6228124 — 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: N011M Bars Context triple: [Sukhoi Su-30MKI, radar, N011M Bars]
-
A.
Barras
Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
-
B.
J-bar
J-bar is a surface ski lift consisting of J-shaped bars that pull skiers and snowboarders uphill while they remain on the snow.
-
C.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
-
D.
M11
M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
-
E.
M11
M11 is a rich, compact open star cluster in the constellation Scutum, also known as the Wild Duck Cluster.
- 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: N011M Bars Target entity description: N011M Bars is a Russian-made, multi-mode passive electronically scanned array (PESA) radar system designed primarily for advanced fighter aircraft.
-
A.
Barras
Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
-
B.
J-bar
J-bar is a surface ski lift consisting of J-shaped bars that pull skiers and snowboarders uphill while they remain on the snow.
-
C.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
-
D.
M11
M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
-
E.
M11
M11 is a rich, compact open star cluster in the constellation Scutum, also known as the Wild Duck Cluster.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
airborne radar system
ⓘ
multi-mode radar ⓘ passive electronically scanned array radar ⓘ |
| capability |
ground moving target indication
ⓘ
look-down/shoot-down ⓘ multi-target tracking ⓘ sea surface search ⓘ synthetic aperture radar imaging ⓘ terrain mapping ⓘ track-while-scan ⓘ |
| control | digital signal processor based ⓘ |
| countryOfOrigin | Russia ⓘ |
| designedBy | Tikhomirov NIIP NERFINISHED ⓘ |
| designedFor | advanced fighter aircraft ⓘ |
| developer | Tikhomirov NIIP NERFINISHED ⓘ |
| family | N011 radar family NERFINISHED ⓘ |
| generation | fourth-generation fighter radar ⓘ |
| integration | Su-30MKI avionics suite ⓘ |
| intendedPlatform | fighter aircraft ⓘ |
| manufacturer | Tikhomirov NIIP NERFINISHED ⓘ |
| mode |
air-to-air
ⓘ
air-to-ground ⓘ air-to-sea ⓘ |
| operatingBand | X-band ⓘ |
| originatesFrom | Soviet/Russian radar design school ⓘ |
| primaryPlatform |
Sukhoi Su-30MKA
NERFINISHED
ⓘ
Sukhoi Su-30MKI NERFINISHED ⓘ Sukhoi Su-30MKM NERFINISHED ⓘ Sukhoi Su-30SM NERFINISHED ⓘ |
| radarType | PESA ⓘ |
| role |
fire-control radar
ⓘ
navigation support ⓘ weapon guidance ⓘ |
| scanType |
electronic scan in elevation
ⓘ
mechanical scan in azimuth ⓘ |
| status | in service ⓘ |
| successorTo | N011 radar NERFINISHED ⓘ |
| targetType |
airborne targets
ⓘ
ground targets ⓘ maritime targets ⓘ |
| usedBy |
Algerian Air Force
NERFINISHED
ⓘ
Indian Air Force NERFINISHED ⓘ Royal Malaysian Air Force NERFINISHED ⓘ Russian Aerospace Forces NERFINISHED ⓘ |
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: N011M Bars Description of subject: N011M Bars is a Russian-made, multi-mode passive electronically scanned array (PESA) radar system designed primarily for advanced fighter aircraft.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.