Triple
T4565130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko’okiri Body Plunge |
E121889
|
entity |
| Predicate | hasQueueSystem |
P24240
|
FINISHED |
| Object | Virtual Line (TapuTapu) at Volcano Bay |
—
|
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: Virtual Line (TapuTapu) at Volcano Bay | Statement: [Ko’okiri Body Plunge, hasQueueSystem, Virtual Line (TapuTapu) at Volcano Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQueueSystem Context triple: [Ko’okiri Body Plunge, hasQueueSystem, Virtual Line (TapuTapu) at Volcano Bay]
-
A.
hasQueue
Indicates that an entity maintains or is associated with a queue, typically representing an ordered list of items or tasks awaiting processing.
-
B.
hasQueueType
chosen
Indicates that an entity is associated with a specific type or category of queue.
-
C.
hasWaitingArea
Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
-
D.
hasQueueEntertainment
Indicates that an entity provides or features entertainment specifically for people waiting in a queue.
-
E.
queueType
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589cde9081909b84186d700fc463 |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.