Triple
T30481766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei P40 Lite |
E775606
|
entity |
| Predicate | tertiaryRearCamera |
P98655
|
FINISHED |
| Object | 2 MP macro |
—
|
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: 2 MP macro | Statement: [Huawei P40 Lite, tertiaryRearCamera, 2 MP macro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tertiaryRearCamera Context triple: [Huawei P40 Lite, tertiaryRearCamera, 2 MP macro]
-
A.
rearCameraFeature
Indicates that an entity has a specific characteristic, capability, or attribute related to its rear-facing camera.
-
B.
rearCameraType
chosen
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
C.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
D.
rearCameraUltraWideAperture
Indicates the aperture size specification of a device’s ultra-wide rear camera lens.
-
E.
rearCameraTelephotoAperture
Indicates the aperture value (light-opening size) of the telephoto lens in the device’s rear camera system.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68742cc6481908be525603fb6ba97 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:12 p.m.