Triple
T38698074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadcom BCM2763 |
E950058
|
entity |
| Predicate | supportsCameraResolution |
—
|
GENERATED |
| Object | 20 megapixels |
—
|
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: supportsCameraResolution Context triple: [Broadcom BCM2763, supportsCameraResolution, 20 megapixels]
-
A.
hasCameraResolution
chosen
Indicates that an entity is associated with a specific camera resolution value or specification.
-
B.
supportsDisplayResolution
Indicates that one entity is capable of operating with, rendering, or otherwise accommodating the specified display resolution of another entity.
-
C.
sensorResolution
Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
-
D.
telephotoCameraResolution
Indicates the image resolution capability of a device’s telephoto camera in a given context.
-
E.
viewfinderResolution
Indicates the resolution or level of detail provided by a device’s viewfinder display.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:33 p.m.