Triple
T29011108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple ImageWriter printers |
E736566
|
entity |
| Predicate | supportsPaperType |
—
|
GENERATED |
| Object | continuous tractor-feed paper |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPaperType Context triple: [Apple ImageWriter printers, supportsPaperType, continuous tractor-feed paper]
-
A.
usesPaperType
chosen
Indicates that one entity employs or operates with a specific type or category of paper.
-
B.
hasPaper
Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
-
C.
typeOfPaperProduced
Indicates the specific kind or category of paper that is produced in a given context or process.
-
D.
mainsPaperType
Indicates the type or category of paper associated with a mains (main) examination or assessment.
-
E.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
- F. None of above.
Provenance (1 batch)
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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 28, 2026, 9:42 a.m.