Triple
T37945982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 5800 XpressMusic |
E946606
|
entity |
| Predicate | cameraRearMegapixels |
P189654
|
FINISHED |
| Object | 3.2 |
—
|
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: 3.2 | Statement: [Nokia 5800 XpressMusic, cameraRearMegapixels, 3.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraRearMegapixels Context triple: [Nokia 5800 XpressMusic, cameraRearMegapixels, 3.2]
-
A.
depthRearCameraResolution
Indicates the resolution at which the device’s rear depth-sensing camera can capture images or data.
-
B.
rearCameraSensorSize
Indicates the physical dimensions of the image sensor used by the device’s rear camera.
-
C.
macroRearCameraResolution
Indicates the resolution capability of a device’s rear macro camera when capturing images.
-
D.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
E.
rearCameraAperture
Indicates the size or f-stop value of the aperture used by a device’s rear-facing camera when capturing images or video.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.