Triple
T30532263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon EOS R6 |
E777036
|
entity |
| Predicate | rearLCDType |
P62733
|
FINISHED |
| Object | vari-angle touchscreen LCD |
—
|
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: vari-angle touchscreen LCD | Statement: [Canon EOS R6, rearLCDType, vari-angle touchscreen LCD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rearLCDType Context triple: [Canon EOS R6, rearLCDType, vari-angle touchscreen LCD]
-
A.
touchscreenType
chosen
Indicates the specific kind or technology of touchscreen associated with an entity.
-
B.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
C.
hasRearUnitType
Indicates that an entity’s rear section or back part is of a specified type.
-
D.
displayNotchType
Indicates the type or style of notch that should be shown on a display or screen.
-
E.
usesBacklightTechnology
Indicates that one entity employs backlight technology to illuminate or enhance the visibility of another entity or its 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6884ceb18819082e8c4002d1faa95 |
completed | May 2, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:18 p.m.