Triple
T11060132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QGIS |
E261485
|
entity |
| Predicate | supportsRasterFormat |
P97572
|
FINISHED |
| Object | PNG |
E618924
|
NE FINISHED |
How this triple was built (2 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: [QGIS, supportsRasterFormat, PNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNG Context triple: [QGIS, supportsRasterFormat, PNG]
-
A.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
B.
PNG
chosen
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.
-
C.
JPEG
JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
-
D.
PNGRFL
PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
-
E.
GIF
GIF (Graphics Interchange Format) is a widely used bitmap image format best known for supporting simple animations and lossless compression with a limited color palette.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798e991848190b07c2f48dae38681 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c87ab0308190a6a6ada1708f0ec2 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.