Triple
T30774056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-H2 |
E783609
|
entity |
| Predicate | maxImageResolution |
P38745
|
FINISHED |
| Object | 7728 x 5152 pixels |
—
|
LITERAL 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: 7728 x 5152 pixels | Statement: [Fujifilm X-H2, maxImageResolution, 7728 x 5152 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxImageResolution Context triple: [Fujifilm X-H2, maxImageResolution, 7728 x 5152 pixels]
-
A.
maximumResolution
chosen
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
B.
maximumMagnification
Indicates the highest level to which something can be magnified or enlarged relative to its original size.
-
C.
targetResolution
Indicates the specific resolution or level of detail that an action, process, or system is intended to achieve or operate at.
-
D.
mainResolution
Indicates that one resolution is the primary or most important resolution associated with a given context or entity.
-
E.
imageQuality
Indicates the assessed level or degree of visual clarity, detail, and overall fidelity of an image.
- F. None of above.
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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 8:40 p.m.