Triple
T8611313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AirPrint |
E203919
|
entity |
| Predicate | platformIntegration |
P43902
|
FINISHED |
| Object | iOS print dialog |
—
|
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: iOS print dialog | Statement: [AirPrint, platformIntegration, iOS print dialog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformIntegration Context triple: [AirPrint, platformIntegration, iOS print dialog]
-
A.
platformMate
Indicates that two entities are located on the same platform or share the same platform context at a given time.
-
B.
platformIssue
Indicates that there is a problem, malfunction, or limitation affecting the operation or availability of a platform.
-
C.
platformIncludes
chosen
Indicates that a platform contains, supports, or provides access to the specified component, feature, or content.
-
D.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
E.
platformUsedFor
Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46fc31e08190aab5ab8f92f3315c |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.