Triple
T28505227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atril |
E721348
|
entity |
| Predicate | supportsPrintingSystem |
P13398
|
FINISHED |
| Object | CUPS |
—
|
NE NERFINISHED |
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: CUPS | Statement: [Atril, supportsPrintingSystem, CUPS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPrintingSystem Context triple: [Atril, supportsPrintingSystem, CUPS]
-
A.
printingSupport
Indicates that one entity provides or is compatible with printing capabilities or services for another entity.
-
B.
hasPrintFeature
Indicates that an entity possesses a specific printing-related characteristic or capability.
-
C.
defaultPrintingProtocol
Indicates that one printing protocol is designated as the standard or fallback method to be used when no specific protocol is otherwise specified.
-
D.
supportedSystem
chosen
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
E.
targetPrinterType
Indicates the specific type or category of printer that is the intended target for an action or configuration.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
Created at: April 28, 2026, 3:09 a.m.