Triple
T3299692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreamworld |
E69298
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Ardent Leisure |
E346357
|
NE 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: Ardent Leisure | Statement: [Dreamworld, operator, Ardent Leisure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardent Leisure Context triple: [Dreamworld, operator, Ardent Leisure]
-
A.
Ardent Leisure
chosen
Ardent Leisure is an Australian-based leisure and entertainment company that owns and operates theme parks, attractions, and related hospitality businesses.
-
B.
Olympia Entertainment
Olympia Entertainment is a Detroit-based sports and entertainment company that manages major venues and events, including professional sports arenas and historic theaters.
-
C.
Regal Entertainment Group
Regal Entertainment Group is one of the largest movie theater chains in the United States, operating multiplex cinemas across the country.
-
D.
Caesars Entertainment
Caesars Entertainment is a major American gaming and hospitality company that owns and operates numerous casinos, hotels, and resorts across the United States and internationally.
-
E.
SkyCity
SkyCity is a major commercial and entertainment complex adjacent to Hong Kong International Airport, featuring retail, dining, leisure, and business facilities for travelers and visitors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a66fcc819093931fe7a6507723 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a6fcb9c819084b0c2a1c8af9c49 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.