Triple
T2074699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP LaserJet |
E44895
|
entity |
| Predicate | printTechnology |
P6774
|
FINISHED |
| Object | monochrome laser |
—
|
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: monochrome laser | Statement: [HP LaserJet, printTechnology, monochrome laser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: printTechnology Context triple: [HP LaserJet, printTechnology, monochrome laser]
-
A.
projectionPrintType
Indicates the method or format by which a projection is printed or rendered (e.g., type or style of the projection output).
-
B.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
-
C.
offeredTechnology
Indicates that one entity has provided or proposed a specific technology to another entity as an option for use, adoption, or consideration.
-
D.
isTechnical
Indicates that an entity possesses specialized technical knowledge, skills, or characteristics related to technology, engineering, or applied sciences.
-
E.
technologicalFeature
chosen
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba116ea0819086d16c3913159e9e |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.