Triple
T2406945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revenge of the Mummy – The Ride |
E50297
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Premier Rides |
E119425
|
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: Premier Rides | Statement: [Revenge of the Mummy – The Ride, manufacturer, Premier Rides]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Premier Rides Context triple: [Revenge of the Mummy – The Ride, manufacturer, Premier Rides]
-
A.
Premier Rides
chosen
Premier Rides is an American amusement ride manufacturer best known for designing and building high-thrill roller coasters and launch coasters for theme parks worldwide.
-
B.
Playacar
Playacar is an upscale, gated resort and residential area in Playa del Carmen known for its all-inclusive hotels, golf course, and beachfront vacation properties.
-
C.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Chance Rides
Chance Rides is an American amusement ride manufacturer known for producing Ferris wheels, carousels, and other attractions for theme parks and entertainment venues worldwide.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fcd3008190b27325e6829ae7ce |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3eba9d08190a2c63e590e08b4df |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:58 p.m.