Triple
T4998968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Vacation Club |
E112318
|
entity |
| Predicate | bookingPriority |
P25884
|
FINISHED |
| Object | home resort priority period |
—
|
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: home resort priority period | Statement: [Disney Vacation Club, bookingPriority, home resort priority period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookingPriority Context triple: [Disney Vacation Club, bookingPriority, home resort priority period]
-
A.
planningPriority
Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
-
B.
limitsPriorityOf
Indicates that one entity imposes a maximum allowable priority level on another entity’s priority.
-
C.
transportPriority
Indicates that one entity is assigned a higher or specific level of precedence over others in being transported or moved.
-
D.
managementPriority
Indicates the relative level of importance or urgency assigned to managing or addressing a particular entity, issue, or task.
-
E.
typeOfPriority
chosen
Indicates the specific priority level or category assigned to something relative to other items or tasks.
- 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.