Triple
T35545409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei Nova 9 SE |
E1027196
|
entity |
| Predicate | mainCameraSetup |
P193505
|
FINISHED |
| Object | quad camera |
—
|
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: quad camera | Statement: [Huawei Nova 9 SE, mainCameraSetup, quad camera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCameraSetup Context triple: [Huawei Nova 9 SE, mainCameraSetup, quad camera]
-
A.
mainCameraSensor
Indicates that an entity functions as the primary camera sensor for another entity.
-
B.
cameraSystem
Indicates a relationship where an entity functions as or is part of a camera-based monitoring or imaging system.
-
C.
mainCameraAbbreviation
Indicates that one entity is the standard or primary abbreviated form used to refer to the main camera of another entity.
-
D.
gameCameraShared
Indicates that two or more entities are using or are associated with the same game camera or camera view.
-
E.
cameraOperator
Indicates that one entity operates, controls, or is responsible for handling the camera for another entity or production.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: May 3, 2026, 4:04 p.m.