Triple
T16853186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Wing |
E409723
|
entity |
| Predicate | primaryDisplayResolution |
P38958
|
FINISHED |
| Object | 2460 x 1080 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: 2460 x 1080 pixels | Statement: [LG Wing, primaryDisplayResolution, 2460 x 1080 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDisplayResolution Context triple: [LG Wing, primaryDisplayResolution, 2460 x 1080 pixels]
-
A.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
B.
externalDisplayResolution
Indicates the resolution at which content is output or rendered on an external display device.
-
C.
combinedDisplayResolution
Indicates the total display resolution resulting from combining multiple individual screens or display outputs.
-
D.
supportsDisplayResolution
Indicates that one entity is capable of operating with, rendering, or otherwise accommodating the specified display resolution of another entity.
-
E.
mainResolution
chosen
Indicates that one resolution is the primary or most important resolution associated with a given context or entity.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37bbb80819086d844a313625cad |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.