Triple
T30427936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei P30 |
E774084
|
entity |
| Predicate | rearCameraZoomOptical |
P20532
|
FINISHED |
| Object | 3x |
—
|
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: 3x | Statement: [Huawei P30, rearCameraZoomOptical, 3x]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rearCameraZoomOptical Context triple: [Huawei P30, rearCameraZoomOptical, 3x]
-
A.
telephotoOpticalZoom
chosen
Indicates that the relationship involves zooming in optically with a telephoto lens to magnify a subject without digital enlargement.
-
B.
rearCameraTelephotoAperture
Indicates the aperture value (light-opening size) of the telephoto lens in the device’s rear camera system.
-
C.
rearCameraAperture
Indicates the size or f-stop value of the aperture used by a device’s rear-facing camera when capturing images or video.
-
D.
rearCameraUltraWideAperture
Indicates the aperture size specification of a device’s ultra-wide rear camera lens.
-
E.
viewfinderMagnification
Indicates the degree to which the viewfinder enlarges the scene relative to the naked eye.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:06 p.m.