Triple
T34703456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy S9+ |
E1000436
|
entity |
| Predicate | rearCameraTelephotoResolution |
P20531
|
FINISHED |
| Object | 12 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 MP | Statement: [Samsung Galaxy S9+, rearCameraTelephotoResolution, 12 MP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rearCameraTelephotoResolution Context triple: [Samsung Galaxy S9+, rearCameraTelephotoResolution, 12 MP]
-
A.
rearCameraTelephotoAperture
Indicates the aperture value (light-opening size) of the telephoto lens in the device’s rear camera system.
-
B.
rearCameraUltraWideResolution
Indicates the resolution specification of the device’s rear ultra-wide camera.
-
C.
rearCameraUltraWideAperture
Indicates the aperture size specification of a device’s ultra-wide rear camera lens.
-
D.
rearCameraMainResolution
Indicates the primary resolution (in megapixels or similar units) of a device’s main rear-facing camera.
-
E.
telephotoCameraResolution
chosen
Indicates the image resolution capability of a device’s telephoto camera in a given context.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.