Triple
T8470774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple LaserWriter |
E200273
|
entity |
| Predicate | canPrint |
P21150
|
FINISHED |
| Object | letter-size paper |
—
|
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: letter-size paper | Statement: [Apple LaserWriter, canPrint, letter-size paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canPrint Context triple: [Apple LaserWriter, canPrint, letter-size paper]
-
A.
hasPrintFeature
chosen
Indicates that an entity possesses a specific printing-related characteristic or capability.
-
B.
hasNotablePrinter
Indicates that an entity is associated with a printer (person, company, or device) that is considered notable or significant in some context.
-
C.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
-
D.
printingColor
Indicates that one entity uses or displays a specific color in the context of printing or printed output.
-
E.
printingMethod
Indicates the technique or process used to produce a printed item or image.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f234c481909534de6fd702f4cf |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.