Triple
T30698570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei P50 |
E781546
|
entity |
| Predicate | primaryCameraTelephotoSensor |
P204116
|
FINISHED |
| Object | 12 MP telephoto |
—
|
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 telephoto | Statement: [Huawei P50, primaryCameraTelephotoSensor, 12 MP telephoto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCameraTelephotoSensor Context triple: [Huawei P50, primaryCameraTelephotoSensor, 12 MP telephoto]
-
A.
rearCameraTelephotoAperture
Indicates the aperture value (light-opening size) of the telephoto lens in the device’s rear camera system.
-
B.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
C.
rearCameraUltraWideAperture
Indicates the aperture size specification of a device’s ultra-wide rear camera lens.
-
D.
hasWideCamera
Indicates that an entity is equipped with or features a wide-angle camera.
-
E.
rearCameraUltraWideResolution
Indicates the resolution specification of the device’s rear ultra-wide camera.
- F. None of above. chosen
Provenance (4 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0326d40cb88190802f61fa832f8ca8 |
completed | May 12, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_6a03268b4f9c8190b3e135b37ed373c3 |
completed | May 12, 2026, 1:09 p.m. |
| PDg | Predicate description generation | batch_6a0326d30068819096da11fba14c2f31 |
completed | May 12, 2026, 1:10 p.m. |
Created at: April 29, 2026, 8:34 p.m.