Triple
T7931621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Glass |
E184200
|
entity |
| Predicate | cameraResolutionMegapixels |
P17636
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Google Glass, cameraResolutionMegapixels, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraResolutionMegapixels Context triple: [Google Glass, cameraResolutionMegapixels, 5]
-
A.
telephotoCameraResolution
Indicates the image resolution capability of a device’s telephoto camera in a given context.
-
B.
sensorResolution
Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
-
C.
rearCameraMainResolution
chosen
Indicates the primary resolution (in megapixels or similar units) of a device’s main rear-facing camera.
-
D.
frontCameraResolution
Indicates the resolution quality or pixel count of a device’s front-facing (selfie) camera.
-
E.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ace87f081908635769942645e78 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:07 p.m.