Triple
T1019969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal CityWalk Orlando |
E22016
|
entity |
| Predicate | requiresThemeParkTicket |
P5937
|
FINISHED |
| Object | no (for general access) |
—
|
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: no (for general access) | Statement: [Universal CityWalk Orlando, requiresThemeParkTicket, no (for general access)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresThemeParkTicket Context triple: [Universal CityWalk Orlando, requiresThemeParkTicket, no (for general access)]
-
A.
ticketedAttraction
Indicates that access to the attraction requires a purchased ticket or paid admission.
-
B.
hasThemePark
Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
-
C.
hasTicketRequirement
chosen
Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
-
D.
hasTicketing
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
E.
themeParkConnection
Indicates a relationship where two or more entities are connected through a theme park, such as by location, operation, partnership, or shared attractions.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.