Triple
T10171579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP 902 ink series |
E235342
|
entity |
| Predicate | targetPrinterType |
P92220
|
FINISHED |
| Object | all-in-one inkjet printer |
—
|
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: all-in-one inkjet printer | Statement: [HP 902 ink series, targetPrinterType, all-in-one inkjet printer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetPrinterType Context triple: [HP 902 ink series, targetPrinterType, all-in-one inkjet printer]
-
A.
printerInterface
Indicates a relationship where an entity serves as or provides the interface through which a printer is accessed, controlled, or communicated with.
-
B.
projectionPrintType
Indicates the method or format by which a projection is printed or rendered (e.g., type or style of the projection output).
-
C.
printingLanguage
Indicates the language in which a text, document, or inscription is printed.
-
D.
associatedWithPrinter
Indicates a relationship where an entity is linked or connected to a specific printer, typically for usage, management, or configuration purposes.
-
E.
printingMethod
Indicates the technique or process used to produce a printed item or image.
- F. None of above. chosen
Provenance (4 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9e4e0c819097dceb7bf7757948 |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.