Triple
T6789955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Photoshop |
E155906
|
entity |
| Predicate | fileFormatSupport |
P8463
|
FINISHED |
| Object |
PNG
PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
|
E618924
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PNG | Statement: [Adobe Photoshop, fileFormatSupport, PNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNG Context triple: [Adobe Photoshop, fileFormatSupport, PNG]
-
A.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
B.
JPEG
JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
-
C.
PNGRFL
PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
-
D.
PICA format
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
-
E.
PSD
PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PNG Triple: [Adobe Photoshop, fileFormatSupport, PNG]
Generated description
PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PNG Target entity description: PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
-
A.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
B.
JPEG
JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
-
C.
PNGRFL
PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
-
D.
PICA format
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
-
E.
PSD
PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ab4ce88190b6311e4d5aac758c |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b186238819096ef6162f9068543 |
completed | March 28, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71b98b8008190a972cc0a215295c0 |
completed | March 28, 2026, 12:06 a.m. |
Created at: March 27, 2026, 2:15 p.m.