Triple
T12627274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPad mini (6th generation) |
E301546
|
entity |
| Predicate | frontCameraResolutionMP |
P17638
|
FINISHED |
| Object | 12 |
—
|
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 | Statement: [iPad mini (6th generation), frontCameraResolutionMP, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontCameraResolutionMP Context triple: [iPad mini (6th generation), frontCameraResolutionMP, 12]
-
A.
frontCameraResolution
chosen
Indicates the resolution quality or pixel count of a device’s front-facing (selfie) camera.
-
B.
rearCameraMainResolution
Indicates the primary resolution (in megapixels or similar units) of a device’s main rear-facing camera.
-
C.
frontCameraFeature
Indicates that an entity has a specified feature, capability, or characteristic associated with its front-facing camera.
-
D.
frontCameraCount
Indicates the number of front-facing cameras associated with an entity.
-
E.
hasCameraResolution
Indicates that an entity is associated with a specific camera resolution value or specification.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:14 p.m.