Triple
T4998965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Vacation Club |
E112318
|
entity |
| Predicate | allowsBankingOfPoints |
P30265
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Disney Vacation Club, allowsBankingOfPoints, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsBankingOfPoints Context triple: [Disney Vacation Club, allowsBankingOfPoints, yes]
-
A.
hasBankingInTurns
Indicates that an entity participates in banking activities that occur in discrete, alternating turns rather than continuously.
-
B.
creditsCanBe
chosen
Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
-
C.
canPayFor
Indicates that one entity has the ability or sufficient resources to cover the cost or expense of another entity.
-
D.
usesPointsForLoss
Indicates that a system or rule assigns or deducts points to represent or account for a loss.
-
E.
hasBankingOnApron
Indicates that an entity (such as a structure or platform) has a banking or sloped edge feature present on its apron area.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.