COMBO-17 survey
E371575
The COMBO-17 survey is a deep multi-band astronomical imaging and photometric redshift survey designed to study galaxies, quasars, and large-scale structure across cosmic time.
All labels observed (1)
| Label | Occurrences |
|---|---|
| COMBO-17 survey canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3587632 — 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: COMBO-17 survey Context triple: [MPG/ESO 2.2 m Telescope, hasSurvey, COMBO-17 survey]
-
A.
Carnegie-Spitzer-IMACS Survey
The Carnegie-Spitzer-IMACS Survey is an astronomical research project that combines infrared observations from the Spitzer Space Telescope with optical spectroscopy from the IMACS instrument to study the formation and evolution of galaxies across cosmic time.
-
B.
OGLE-IV survey
The OGLE-IV survey is a large-scale astronomical sky survey focused on detecting microlensing events and variable stars, conducted with the Warsaw Telescope at Las Campanas Observatory.
-
C.
Carnegie Irvine Galaxy Survey
The Carnegie Irvine Galaxy Survey is an astronomical project that provides detailed optical imaging and analysis of nearby galaxies to study their structure, formation, and evolution.
-
D.
CANDELS survey
The CANDELS survey is a major Hubble Space Telescope deep-imaging program designed to study the formation and evolution of galaxies across cosmic time.
-
E.
OGLE-III survey
OGLE-III survey was a major phase of the Optical Gravitational Lensing Experiment that conducted extensive long-term photometric monitoring of millions of stars to study microlensing events and variable objects in the sky.
- 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: COMBO-17 survey Target entity description: The COMBO-17 survey is a deep multi-band astronomical imaging and photometric redshift survey designed to study galaxies, quasars, and large-scale structure across cosmic time.
-
A.
Carnegie-Spitzer-IMACS Survey
The Carnegie-Spitzer-IMACS Survey is an astronomical research project that combines infrared observations from the Spitzer Space Telescope with optical spectroscopy from the IMACS instrument to study the formation and evolution of galaxies across cosmic time.
-
B.
OGLE-IV survey
The OGLE-IV survey is a large-scale astronomical sky survey focused on detecting microlensing events and variable stars, conducted with the Warsaw Telescope at Las Campanas Observatory.
-
C.
Carnegie Irvine Galaxy Survey
The Carnegie Irvine Galaxy Survey is an astronomical project that provides detailed optical imaging and analysis of nearby galaxies to study their structure, formation, and evolution.
-
D.
CANDELS survey
The CANDELS survey is a major Hubble Space Telescope deep-imaging program designed to study the formation and evolution of galaxies across cosmic time.
-
E.
OGLE-III survey
OGLE-III survey was a major phase of the Optical Gravitational Lensing Experiment that conducted extensive long-term photometric monitoring of millions of stars to study microlensing events and variable objects in the sky.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
astronomical survey
ⓘ
multi-band imaging survey ⓘ photometric redshift survey ⓘ |
| fullName | Classifying Objects by Medium-Band Observations in 17 filters ⓘ |
| hasAnalysisType |
clustering analysis
ⓘ
galaxy type classification ⓘ luminosity function determination ⓘ statistical analysis of large samples ⓘ |
| hasDataProduct |
galaxy classification catalogs
ⓘ
multi-band photometric catalogs ⓘ photometric redshift catalogs ⓘ quasar candidate catalogs ⓘ |
| hasKeyFeature |
classification of objects by spectral energy distribution
ⓘ
deep multi-band imaging ⓘ medium-band spectral resolution from photometry ⓘ photometric redshift accuracy sufficient for large-scale structure studies ⓘ |
| hasMethod |
photometric redshift estimation
ⓘ
spectral energy distribution fitting ⓘ |
| hasObservationType |
multi-band photometry
ⓘ
optical imaging ⓘ |
| hasRelevanceTo |
galaxy evolution studies
ⓘ
large-scale structure mapping ⓘ observational cosmology ⓘ quasar evolution studies ⓘ |
| hasScienceGoal |
constrain cosmological parameters
ⓘ
identify quasars ⓘ measure photometric redshifts ⓘ study galaxies across cosmic time ⓘ study galaxy evolution ⓘ study large-scale structure of the Universe ⓘ study quasars across cosmic time ⓘ |
| hasSelectionMethod | multi-color selection ⓘ |
| hasTemporalScope | cosmic time ⓘ |
| hasWavelengthRange | optical ⓘ |
| isDesignedFor |
cosmological studies
ⓘ
environmental dependence of galaxy properties ⓘ galaxy population statistics ⓘ quasar demographics ⓘ |
| studiesObjectType |
active galactic nuclei
ⓘ
galaxies ⓘ galaxy clusters ⓘ large-scale structure ⓘ quasars ⓘ |
| usesFilterType |
broad-band filters
ⓘ
medium-band filters ⓘ |
| usesNumberOfFilters | 17 ⓘ |
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: COMBO-17 survey Description of subject: The COMBO-17 survey is a deep multi-band astronomical imaging and photometric redshift survey designed to study galaxies, quasars, and large-scale structure across cosmic time.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.