Mini-SAR (Chandrayaan-1)
E898949
Mini-SAR (Chandrayaan-1) is a NASA-provided synthetic aperture radar instrument flown on India’s Chandrayaan-1 lunar orbiter to map the Moon’s polar regions and search for water ice deposits.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mini-SAR (Chandrayaan-1) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11001250 — 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: Mini-SAR (Chandrayaan-1) Context triple: [Mini-SAR, alternateName, Mini-SAR (Chandrayaan-1)]
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A.
Chandrayaan-1
Chandrayaan-1 was India’s first lunar probe, launched in 2008, which successfully orbited the Moon and helped confirm the presence of water molecules on the lunar surface.
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B.
Resourcesat-1
Resourcesat-1 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for natural resource monitoring and management.
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C.
Chang’e 2
Chang’e 2 is a Chinese lunar probe launched in 2010 that orbited the Moon for high-resolution mapping before traveling on to study the asteroid 4179 Toutatis.
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D.
Kaguya (SELENE) lunar orbiter
Kaguya (SELENE) was a Japanese lunar orbiter mission that conducted detailed scientific mapping and observation of the Moon’s surface, gravity, and environment.
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E.
Lunar Reconnaissance Orbiter
Lunar Reconnaissance Orbiter is a NASA robotic spacecraft launched in 2009 to map the Moon’s surface in high detail and search for resources such as water ice.
- 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: Mini-SAR (Chandrayaan-1) Target entity description: Mini-SAR (Chandrayaan-1) is a NASA-provided synthetic aperture radar instrument flown on India’s Chandrayaan-1 lunar orbiter to map the Moon’s polar regions and search for water ice deposits.
-
A.
Chandrayaan-1
Chandrayaan-1 was India’s first lunar probe, launched in 2008, which successfully orbited the Moon and helped confirm the presence of water molecules on the lunar surface.
-
B.
Resourcesat-1
Resourcesat-1 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for natural resource monitoring and management.
-
C.
Chang’e 2
Chang’e 2 is a Chinese lunar probe launched in 2010 that orbited the Moon for high-resolution mapping before traveling on to study the asteroid 4179 Toutatis.
-
D.
Kaguya (SELENE) lunar orbiter
Kaguya (SELENE) was a Japanese lunar orbiter mission that conducted detailed scientific mapping and observation of the Moon’s surface, gravity, and environment.
-
E.
Lunar Reconnaissance Orbiter
Lunar Reconnaissance Orbiter is a NASA robotic spacecraft launched in 2009 to map the Moon’s surface in high detail and search for resources such as water ice.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
NASA payload
ⓘ
lunar remote sensing instrument ⓘ spaceborne synthetic aperture radar instrument ⓘ |
| alternativeName |
Chandrayaan-1 Mini-SAR
NERFINISHED
ⓘ
Mini-SAR NERFINISHED ⓘ |
| collaboratingAgency |
Indian Space Research Organisation
NERFINISHED
ⓘ
NASA NERFINISHED ⓘ |
| dataArchive | NASA Planetary Data System NERFINISHED ⓘ |
| dataProduct |
circular polarization ratio maps
ⓘ
lunar polar radar maps ⓘ |
| developedBy |
Applied Physics Laboratory
NERFINISHED
ⓘ
NASA NERFINISHED ⓘ Naval Air Warfare Center Weapons Division NERFINISHED ⓘ |
| fieldOfView | swath imaging of lunar surface ⓘ |
| frequencyBand | S-band ⓘ |
| heritage | based on Mini-RF technology ⓘ |
| hostAgency | Indian Space Research Organisation NERFINISHED ⓘ |
| hostCountry | India NERFINISHED ⓘ |
| hostMission | Chandrayaan-1 NERFINISHED ⓘ |
| keyResult |
identified radar signatures consistent with water ice in lunar polar craters
ⓘ
provided evidence for water ice deposits in permanently shadowed regions ⓘ |
| launchCountry | India NERFINISHED ⓘ |
| launchDate | 2008-10-22 ⓘ |
| launchSite |
Satish Dhawan Space Centre
NERFINISHED
ⓘ
Sriharikota NERFINISHED ⓘ |
| launchVehicle | PSLV-XL NERFINISHED ⓘ |
| measurementType |
circular polarization ratio
ⓘ
radar backscatter ⓘ |
| missionPhase | Chandrayaan-1 nominal mapping phase ⓘ |
| observationMode | stripmap SAR imaging ⓘ |
| observationRegion |
lunar north pole
ⓘ
lunar south pole ⓘ permanently shadowed craters ⓘ |
| operator | NASA ⓘ |
| polarizationMode | circular polarization ⓘ |
| primaryObjective |
map lunar polar regions
ⓘ
search for water ice deposits in permanently shadowed regions ⓘ |
| program | NASA Discovery Program contribution to Chandrayaan-1 ⓘ |
| scienceDiscipline |
lunar science
ⓘ
planetary radar ⓘ remote sensing ⓘ |
| scientificGoal |
characterize radar backscatter properties of lunar regolith
ⓘ
detect signatures consistent with water ice ⓘ |
| spacecraft | Chandrayaan-1 NERFINISHED ⓘ |
| status | mission completed ⓘ |
| successorInstrument | Mini-RF (Lunar Reconnaissance Orbiter) NERFINISHED ⓘ |
| targetBody | Moon NERFINISHED ⓘ |
| wavelength | about 13 cm ⓘ |
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: Mini-SAR (Chandrayaan-1) Description of subject: Mini-SAR (Chandrayaan-1) is a NASA-provided synthetic aperture radar instrument flown on India’s Chandrayaan-1 lunar orbiter to map the Moon’s polar regions and search for water ice deposits.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.