Triple
T30698569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei P50 |
E781546
|
entity |
| Predicate | primaryCameraMainSensor |
—
|
GENERATED |
| Object | 50 MP wide |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCameraMainSensor Context triple: [Huawei P50, primaryCameraMainSensor, 50 MP wide]
-
A.
mainCameraSensor
Indicates that an entity functions as the primary camera sensor for another entity.
-
B.
rearCameraSensorSize
Indicates the physical dimensions of the image sensor used by the device’s rear camera.
-
C.
rearCameraMainResolution
chosen
Indicates the primary resolution (in megapixels or similar units) of a device’s main rear-facing camera.
-
D.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
E.
cameraTechnology
Indicates the type or characteristics of camera-related technology associated with an entity.
- F. None of above.
Provenance (1 batch)
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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:34 p.m.