Triple
T30481871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon EOS R5 |
E775608
|
entity |
| Predicate | lcdType |
P62733
|
FINISHED |
| Object | vari-angle touchscreen |
—
|
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 | Statement: [Canon EOS R5, lcdType, vari-angle touchscreen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lcdType Context triple: [Canon EOS R5, lcdType, vari-angle touchscreen]
-
A.
touchscreenType
chosen
Indicates the specific kind or technology of touchscreen associated with an entity.
-
B.
consoleType
Indicates the type or category of console associated with an entity (e.g., specifying which console a game or device is for).
-
C.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
D.
screenCapacity
Indicates the maximum number of items or content units that can be displayed on a screen at one time.
-
E.
screenCurvature
Indicates that one entity has a specific degree or type of curvature in its screen surface relative to another entity or a defined standard.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68742cc6481908be525603fb6ba97 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:12 p.m.