Triple
T7919931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deno's Wonder Wheel Amusement Park |
E183919
|
entity |
| Predicate | openedAttraction |
P79773
|
FINISHED |
| Object | Wonder Wheel in 1920 |
—
|
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: Wonder Wheel in 1920 | Statement: [Deno's Wonder Wheel Amusement Park, openedAttraction, Wonder Wheel in 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAttraction Context triple: [Deno's Wonder Wheel Amusement Park, openedAttraction, Wonder Wheel in 1920]
-
A.
offersAttraction
Indicates that one entity provides or presents an attraction, such as an activity, feature, or point of interest, to another entity or audience.
-
B.
tourOpened
Indicates that a tour has begun or been made available for participation or viewing.
-
C.
themeParkPresence
Indicates that an entity is present at, located in, or associated with a theme park in the context of a given event or situation.
-
D.
numberOfAttractions
Indicates the total count of attractions associated with a given entity or context.
-
E.
ticketedAttraction
Indicates that access to the attraction requires a purchased ticket or paid admission.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a9173548190a04889726f7b251f |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:05 p.m.