Triple
T956142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iCloud |
E20628
|
entity |
| Predicate | offersPaidPlans |
P5640
|
FINISHED |
| Object | iCloud+ storage tiers |
—
|
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: iCloud+ storage tiers | Statement: [iCloud, offersPaidPlans, iCloud+ storage tiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersPaidPlans Context triple: [iCloud, offersPaidPlans, iCloud+ storage tiers]
-
A.
offersPlanType
chosen
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
B.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
C.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
D.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
E.
offersActivity
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.