DNG
E163317
DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
All labels observed (3)
| Label | Occurrences |
|---|---|
| DNG canonical | 2 |
| Adobe Digital Negative (DNG) | 1 |
| Digital Negative (DNG) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1429669 — 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: DNG Context triple: [Adobe Lightroom, supports, DNG]
-
A.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
B.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
-
D.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
- 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: DNG Target entity description: DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
-
A.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
B.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
-
D.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
file format specification
ⓘ
raw image file format ⓘ |
| advantage |
reduced risk of raw format obsolescence
ⓘ
single workflow for multiple camera brands ⓘ standardized metadata handling ⓘ |
| basedOn |
TIFF
ⓘ
surface form:
TIFF/EP
|
| category |
Digital photography
ⓘ
Graphics file formats ⓘ |
| compatibleWith |
Adobe Camera Raw
ⓘ
Adobe Lightroom ⓘ Adobe Photoshop ⓘ many third-party raw converters ⓘ |
| contains |
camera calibration data
ⓘ
full-size previews ⓘ image data ⓘ lens correction data ⓘ thumbnail previews ⓘ |
| designGoal |
open raw image standard
ⓘ
publicly documented specification ⓘ vendor-neutral raw format ⓘ |
| developer |
Adobe Inc.
ⓘ
Adobe Inc. ⓘ
surface form:
Adobe Systems
|
| documentationURL | https://www.adobe.com/dng ⓘ |
| fileExtension | .dng ⓘ |
| fileType |
digital photography format
ⓘ
raw image file ⓘ |
| firstReleasedBy |
Adobe Inc.
ⓘ
surface form:
Adobe Systems
|
| firstReleaseYear | 2004 ⓘ |
| fullName | Digital Negative ⓘ |
| license | royalty-free license from Adobe ⓘ |
| mimeType | image/x-adobe-dng ⓘ |
| owner |
Adobe Inc.
ⓘ
surface form:
Adobe Systems
|
| purpose |
broad compatibility of raw image files
ⓘ
long-term archival of digital photographs ⓘ |
| specificationPublishedBy |
Adobe Inc.
ⓘ
surface form:
Adobe Systems
|
| specificationStatus |
publicly documented
ⓘ
royalty-free ⓘ |
| supports |
Exif metadata
ⓘ
IPTC metadata ⓘ XMP metadata ⓘ embedded original raw file (optionally) ⓘ embedded preview images ⓘ floating-point data ⓘ linear raw data ⓘ lossless compression ⓘ lossless raw image data ⓘ lossy compression (optionally) ⓘ metadata embedding ⓘ multiple color filter array patterns ⓘ |
| usedBy | some camera manufacturers ⓘ |
| usedFor | archiving proprietary raw formats ⓘ |
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: DNG Description of subject: DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Digital Negative (DNG)
this entity surface form:
Adobe Digital Negative (DNG)