Triple
T4036544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 7 Pro |
E83840
|
entity |
| Predicate | hasTelephotoCameraResolution |
P20531
|
FINISHED |
| Object | 48 MP |
—
|
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: 48 MP | Statement: [Pixel 7 Pro, hasTelephotoCameraResolution, 48 MP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelephotoCameraResolution Context triple: [Pixel 7 Pro, hasTelephotoCameraResolution, 48 MP]
-
A.
telephotoCameraResolution
chosen
Indicates the image resolution capability of a device’s telephoto camera in a given context.
-
B.
telephotoOpticalZoom
Indicates that the relationship involves zooming in optically with a telephoto lens to magnify a subject without digital enlargement.
-
C.
hasWideCamera
Indicates that an entity is equipped with or features a wide-angle camera.
-
D.
rearCameraUltraWideResolution
Indicates the resolution specification of the device’s rear ultra-wide camera.
-
E.
rearCameraMainResolution
Indicates the primary resolution (in megapixels or similar units) of a device’s main rear-facing camera.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb349e648190b9f227df4cd76fa0 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.