Triple
T13324315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | barbet |
E317397
|
entity |
| Predicate | hasRearMainCameraResolution |
P17636
|
FINISHED |
| Object | 12.2 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: 12.2 MP | Statement: [barbet, hasRearMainCameraResolution, 12.2 MP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRearMainCameraResolution Context triple: [barbet, hasRearMainCameraResolution, 12.2 MP]
-
A.
rearCameraMainResolution
chosen
Indicates the primary resolution (in megapixels or similar units) of a device’s main rear-facing camera.
-
B.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
C.
hasCameraResolution
Indicates that an entity is associated with a specific camera resolution value or specification.
-
D.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
E.
rearCameraSensorSize
Indicates the physical dimensions of the image sensor used by the device’s rear 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.