Triple
T5016796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple One |
E112756
|
entity |
| Predicate | PremierPlanAvailability |
P61553
|
FINISHED |
| Object | limited countries |
—
|
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: limited countries | Statement: [Apple One, PremierPlanAvailability, limited countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PremierPlanAvailability Context triple: [Apple One, PremierPlanAvailability, limited countries]
-
A.
mapAvailability
Indicates that a map is accessible or provided for use in a given context or location.
-
B.
hasOnlineReservation
Indicates that an entity has a booking or reservation that was made or is managed through an online system.
-
C.
commercialAvailability
Indicates that an entity is offered for sale or otherwise obtainable through commercial channels.
-
D.
availableFor
Indicates that one entity can be used, accessed, or allocated for the benefit, purpose, or use of another entity.
-
E.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd734037a88190a950db814412a023 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:35 p.m.