Triple
T27649976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Islands of Adventure |
E696822
|
entity |
| Predicate | allowsParkToParkAccessWith |
P173223
|
FINISHED |
| Object | Universal Studios Florida |
—
|
NE NERFINISHED |
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: Universal Studios Florida | Statement: [Universal Islands of Adventure, allowsParkToParkAccessWith, Universal Studios Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsParkToParkAccessWith Context triple: [Universal Islands of Adventure, allowsParkToParkAccessWith, Universal Studios Florida]
-
A.
hasParkAccess
Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
-
B.
associatedWithPark
Indicates a relationship in which an entity is connected or linked in some relevant way to a particular park.
-
C.
accessibleWithoutParkTicket
Indicates that a location, attraction, or service can be reached or used without requiring a park admission ticket.
-
D.
hasParkingPermitSystem
Indicates that a place or organization operates a system for issuing and managing parking permits for vehicles.
-
E.
hasLevelAccessFromCarPark
Indicates that a particular level or floor can be directly accessed from a car park.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 27, 2026, 2:31 p.m.