Triple
T11351728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple M2 iPad Pro (11-inch, 4th generation) |
E268853
|
entity |
| Predicate | displayPPI |
P41264
|
FINISHED |
| Object | 264 ppi |
—
|
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: 264 ppi | Statement: [Apple M2 iPad Pro (11-inch, 4th generation), displayPPI, 264 ppi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayPPI Context triple: [Apple M2 iPad Pro (11-inch, 4th generation), displayPPI, 264 ppi]
-
A.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
B.
pixelDensity
chosen
Indicates the number of pixels per unit of length or area used to represent or display a visual element.
-
C.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
D.
externalDisplayResolution
Indicates the resolution at which content is output or rendered on an external display device.
-
E.
displayMode
Indicates how content or information is visually presented or arranged to the user.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.