Triple
T30602722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei P10 |
E778955
|
entity |
| Predicate | primaryCameraSetup |
P193505
|
FINISHED |
| Object | dual rear 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: dual rear camera | Statement: [Huawei P10, primaryCameraSetup, dual rear camera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCameraSetup Context triple: [Huawei P10, primaryCameraSetup, dual rear camera]
-
A.
mainCameraSetup
chosen
Indicates the configuration or arrangement of the primary camera used for capturing or viewing a scene.
-
B.
mainCameraSensor
Indicates that an entity functions as the primary camera sensor for another entity.
-
C.
mainCamera3
Indicates that something functions as or is designated as the third primary camera in a given context or system.
-
D.
cameraConfiguration
Indicates the specific setup or arrangement of a camera’s parameters or components in a given context.
-
E.
cameraSystem
Indicates a relationship where an entity functions as or is part of a camera-based monitoring or imaging 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a030d3db2748190b32fcf7b21bd0d0a |
completed | May 12, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_6a030ca6bf388190b2f6931376323da3 |
completed | May 12, 2026, 11:19 a.m. |
Created at: April 29, 2026, 8:25 p.m.