AllWISE Reject Table
E313692
The AllWISE Reject Table is a supplementary catalog from the WISE/AllWISE infrared sky survey that lists sources excluded from the main AllWISE data release, typically due to quality, reliability, or processing issues.
All labels observed (3)
| Label | Occurrences |
|---|---|
| AllWISE Reject Table canonical | 2 |
| AllWISE Reject Catalog | 1 |
| WISE All-Sky Release Reject Table | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2962676 — 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: AllWISE Reject Table Context triple: [NASA/IPAC Infrared Science Archive, missionArchiveFor, AllWISE Reject Table]
-
A.
WASP exoplanet survey
The WASP exoplanet survey is a ground-based project that uses wide-field telescopes to discover and study transiting exoplanets around bright stars.
-
B.
UNDSS
UNDSS is the United Nations department responsible for providing leadership, operational support, and oversight of the UN’s security management system to ensure the safety and security of UN personnel and operations worldwide.
-
C.
Advanced Camera for Surveys
The Advanced Camera for Surveys is a high-resolution imaging instrument on the Hubble Space Telescope designed to capture detailed observations of distant galaxies, galaxy clusters, and other faint astronomical objects.
-
D.
ADS (Astrophysics Data System)
ADS (Astrophysics Data System) is a NASA-funded digital library and search platform that provides comprehensive access to scholarly literature in astronomy, astrophysics, and related physics disciplines.
-
E.
NEOWISE mission
The NEOWISE mission is a NASA space telescope project repurposed to detect, track, and characterize near-Earth objects such as asteroids and comets using infrared observations.
- 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: AllWISE Reject Table Target entity description: The AllWISE Reject Table is a supplementary catalog from the WISE/AllWISE infrared sky survey that lists sources excluded from the main AllWISE data release, typically due to quality, reliability, or processing issues.
-
A.
WASP exoplanet survey
The WASP exoplanet survey is a ground-based project that uses wide-field telescopes to discover and study transiting exoplanets around bright stars.
-
B.
UNDSS
UNDSS is the United Nations department responsible for providing leadership, operational support, and oversight of the UN’s security management system to ensure the safety and security of UN personnel and operations worldwide.
-
C.
Advanced Camera for Surveys
The Advanced Camera for Surveys is a high-resolution imaging instrument on the Hubble Space Telescope designed to capture detailed observations of distant galaxies, galaxy clusters, and other faint astronomical objects.
-
D.
ADS (Astrophysics Data System)
ADS (Astrophysics Data System) is a NASA-funded digital library and search platform that provides comprehensive access to scholarly literature in astronomy, astrophysics, and related physics disciplines.
-
E.
NEOWISE mission
The NEOWISE mission is a NASA space telescope project repurposed to detect, track, and characterize near-Earth objects such as asteroids and comets using infrared observations.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
WISE mission data product
ⓘ
astronomical catalog ⓘ |
| accessMethod |
online query through IRSA
ⓘ
table download from IRSA ⓘ |
| associatedWith |
AllWISE Multiepoch Photometry Table
ⓘ
AllWISE Source Catalog ⓘ |
| contains |
astrometric information for rejected sources
ⓘ
contamination and confusion flags ⓘ photometric measurements for rejected sources ⓘ processing status flags ⓘ quality flags ⓘ |
| dataFormat |
FITS table
ⓘ
IPAC table format ⓘ |
| dataProcessingCenter | IPAC at Caltech ⓘ |
| dataReleaseAgency |
IPAC
ⓘ
Infrared Science Archive (IRSA) ⓘ
linked to:
NASA/IPAC Infrared Science Archive
NASA ⓘ |
| describes | infrared sources rejected from the main AllWISE Source Catalog ⓘ |
| documentationProvidedBy | AllWISE Explanatory Supplement ⓘ |
| epochCoverage | combined WISE cryogenic and post-cryogenic survey phases ⓘ |
| hasAlternativeName |
AllWISE Reject Catalog
ⓘ
linked to:
AllWISE Reject Table
|
| hostArchive | NASA/IPAC Infrared Science Archive ⓘ |
| mission |
Wide-field Infrared Survey Explorer (WISE)
ⓘ
linked to:
Wide-field Infrared Survey Explorer
|
| partOf |
AllWISE data release
ⓘ
linked to:
AllWISE Explanatory Supplement
WISE/NEOWISE data products ⓘ
linked to:
NEOWISE mission
Wide-field Infrared Survey Explorer mission ⓘ
linked to:
Wide-field Infrared Survey Explorer
|
| primaryPurpose | to list sources excluded from the main AllWISE catalogs ⓘ |
| reasonForRejectionIncludes |
blending issues
ⓘ
contamination by bright sources ⓘ image artifacts such as diffraction spikes ⓘ latent images ⓘ optical ghosts ⓘ persistence artifacts ⓘ poor photometric quality ⓘ processing artifacts ⓘ spurious detections near image edges ⓘ unreliable source detection ⓘ |
| relatedTo |
WISE All-Sky Release Reject Table
ⓘ
linked to:
AllWISE Reject Table
|
| selectionCriterion |
sources affected by known instrumental artifacts
ⓘ
sources failing AllWISE reliability thresholds ⓘ sources with problematic profile fits or photometry ⓘ |
| surveyType | all-sky infrared survey ⓘ |
| usedFor |
cross-checking against the main AllWISE Source Catalog
ⓘ
identification of spurious or unreliable infrared sources ⓘ quality assessment of WISE/AllWISE detections ⓘ |
| wavelengthCoverage |
12 microns (WISE W3 band)
ⓘ
22 microns (WISE W4 band) ⓘ 3.4 microns (WISE W1 band) ⓘ 4.6 microns (WISE W2 band) ⓘ |
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: AllWISE Reject Table Description of subject: The AllWISE Reject Table is a supplementary catalog from the WISE/AllWISE infrared sky survey that lists sources excluded from the main AllWISE data release, typically due to quality, reliability, or processing issues.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: AllWISE Reject Table
linked to: AllWISE Reject Table