Triple
T29340510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PC-98 |
E744023
|
entity |
| Predicate | typicalGraphicsResolution |
P33105
|
FINISHED |
| Object | 640×400 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: 640×400 pixels | Statement: [PC-98, typicalGraphicsResolution, 640×400 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGraphicsResolution Context triple: [PC-98, typicalGraphicsResolution, 640×400 pixels]
-
A.
typicalResolution
chosen
Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
-
B.
typicalInputResolution
Indicates the usual or standard resolution at which input is expected or typically processed.
-
C.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
D.
supportsDisplayResolution
Indicates that one entity is capable of operating with, rendering, or otherwise accommodating the specified display resolution of another entity.
-
E.
externalDisplayResolution
Indicates the resolution at which content is output or rendered on an external display device.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a01a18e350481909f848686568d19bc |
completed | May 11, 2026, 9:29 a.m. |
| PD | Predicate disambiguation | batch_6a01a121b67c81908a6c5be9eb8e9ca5 |
completed | May 11, 2026, 9:28 a.m. |
Created at: April 28, 2026, 1:33 p.m.