Triple
T33653642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African Airways Voyager Lifetime Platinum |
E862162
|
entity |
| Predicate | statusOwnership |
P198974
|
FINISHED |
| Object | personal to member |
—
|
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: personal to member | Statement: [South African Airways Voyager Lifetime Platinum, statusOwnership, personal to member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOwnership Context triple: [South African Airways Voyager Lifetime Platinum, statusOwnership, personal to member]
-
A.
ownershipSince
Indicates the point in time from which an entity has continuously owned another entity.
-
B.
targetOwnership
Indicates that one entity holds ownership or proprietary control over the target entity.
-
C.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
D.
ownershipConfers
Indicates that possessing or owning something grants the owner certain rights, powers, or privileges over it.
-
E.
ownershipRecordedBy
Indicates that the fact or status of ownership of an entity is documented or registered by a particular agent or system.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
| PDg | Predicate description generation | batch_69ff17bda59c8190b27c524f3e01c6df |
completed | May 9, 2026, 11:17 a.m. |
Created at: May 1, 2026, 1:42 a.m.