Terrain Mapping Camera 2
E238207
Terrain Mapping Camera 2 is a high-resolution imaging instrument aboard India’s Chandrayaan-2 lunar orbiter, designed to create detailed three-dimensional maps of the Moon’s surface.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Terrain Mapping Camera 2 canonical | 2 |
| Terrain Mapping Camera | 1 |
| Terrain Mapping Camera on Chandrayaan-1 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2139149 — 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: Terrain Mapping Camera 2 Context triple: [Chandrayaan-2, instrumentsOnOrbiter, Terrain Mapping Camera 2]
-
A.
Maps SDK for Unity
Maps SDK for Unity is a Google Maps developer toolkit that lets Unity developers integrate real-world maps, locations, and 3D environment data directly into their games and applications.
-
B.
Mapam
Mapam was a left-wing socialist Zionist political party in Israel that played a significant role in the early decades of the state, particularly within the kibbutz movement and peace-oriented politics.
-
C.
Terrain-Relative Navigation
Terrain-Relative Navigation is a guidance technology that enables spacecraft to autonomously analyze surface features in real time and adjust their descent path for a precise and safe landing.
-
D.
VMAP
VMAP (Video Multiple Ad Playlist) is an IAB standard XML format that defines how and when video ads should be inserted into video content.
-
E.
SLAM
SLAM is a major art museum in St. Louis, Missouri, renowned for its extensive collection spanning thousands of years and diverse cultures.
- 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: Terrain Mapping Camera 2 Target entity description: Terrain Mapping Camera 2 is a high-resolution imaging instrument aboard India’s Chandrayaan-2 lunar orbiter, designed to create detailed three-dimensional maps of the Moon’s surface.
-
A.
Maps SDK for Unity
Maps SDK for Unity is a Google Maps developer toolkit that lets Unity developers integrate real-world maps, locations, and 3D environment data directly into their games and applications.
-
B.
Mapam
Mapam was a left-wing socialist Zionist political party in Israel that played a significant role in the early decades of the state, particularly within the kibbutz movement and peace-oriented politics.
-
C.
Terrain-Relative Navigation
Terrain-Relative Navigation is a guidance technology that enables spacecraft to autonomously analyze surface features in real time and adjust their descent path for a precise and safe landing.
-
D.
VMAP
VMAP (Video Multiple Ad Playlist) is an IAB standard XML format that defines how and when video ads should be inserted into video content.
-
E.
SLAM
SLAM is a major art museum in St. Louis, Missouri, renowned for its extensive collection spanning thousands of years and diverse cultures.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
lunar imaging instrument
ⓘ
remote sensing instrument ⓘ spaceborne camera ⓘ |
| abbreviation | TMC 2 ⓘ |
| application |
geological studies of lunar surface
ⓘ
identification of potential landing sites ⓘ lunar topographic mapping ⓘ |
| countryOfOperator | India ⓘ |
| dataProduct |
digital elevation model of lunar surface
ⓘ
stereo images of lunar terrain ⓘ |
| dataUsage |
creation of global lunar DEMs
ⓘ
support for future Indian lunar missions ⓘ |
| developedBy | Indian Space Research Organisation ⓘ |
| hostSpacecraftType | uncrewed lunar orbiter ⓘ |
| imagingMode | stereo imaging ⓘ |
| launchDate | 2019-07-22 ⓘ |
| launchSite |
Satish Dhawan Space Centre
ⓘ
Sriharikota ⓘ |
| launchVehicle |
GSLV Mk III-M1
ⓘ
linked to:
GSLV Mk III / LVM3
|
| location | lunar orbit ⓘ |
| mission | Chandrayaan-2 ⓘ |
| missionPhase | lunar orbiter phase of Chandrayaan-2 ⓘ |
| missionStatus | operational as part of Chandrayaan-2 orbiter ⓘ |
| operator | Indian Space Research Organisation ⓘ |
| orbitType | polar lunar orbit ⓘ |
| partOf |
Chandrayaan-2 orbiter
ⓘ
linked to:
Chandrayaan-2
|
| platformOrbitAltitude | approximately 100 km above lunar surface ⓘ |
| primaryBodyObserved | Moon ⓘ |
| primaryObjective |
generation of three-dimensional maps of the Moon
ⓘ
high-resolution mapping of lunar surface ⓘ support for lunar science and exploration planning ⓘ |
| purpose |
to improve understanding of lunar topography
ⓘ
to obtain detailed information on lunar surface morphology ⓘ |
| relatedInstrument |
Imaging Infrared Spectrometer
ⓘ
linked to:
Imaging IR Spectrometer
Orbiter High Resolution Camera ⓘ |
| resolutionType | high spatial resolution ⓘ |
| scienceDiscipline |
lunar remote sensing
ⓘ
planetary science ⓘ |
| spaceAgency |
ISRO
ⓘ
linked to:
Indian Space Research Organisation
|
| spacecraft |
Chandrayaan-2 orbiter
ⓘ
linked to:
Chandrayaan-2
|
| spectralType | panchromatic ⓘ |
| successorOf |
Terrain Mapping Camera on Chandrayaan-1
ⓘ
linked to:
Terrain Mapping Camera 2
|
| targetUserCommunity |
lunar geologists
ⓘ
mission planners ⓘ planetary scientists ⓘ |
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: Terrain Mapping Camera 2 Description of subject: Terrain Mapping Camera 2 is a high-resolution imaging instrument aboard India’s Chandrayaan-2 lunar orbiter, designed to create detailed three-dimensional maps of the Moon’s surface.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Terrain Mapping Camera 2
linked to: Terrain Mapping Camera 2