Triple
T14741839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WhiteWater World |
E346366
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Triple Vortex
Triple Vortex is a multi-slide water ride attraction at the WhiteWater World theme park in Australia.
|
E1116896
|
NE FINISHED |
How this triple was built (4 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: Triple Vortex | Statement: [WhiteWater World, hasAttraction, Triple Vortex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triple Vortex Context triple: [WhiteWater World, hasAttraction, Triple Vortex]
-
A.
Vortex
Vortex is a spinning pendulum thrill ride at Thorpe Park known for its intense swinging and rotating motion.
-
B.
Vortex
Vortex is the high-performance CPU core microarchitecture used in Apple’s A12X Bionic system-on-chip for iPad Pro devices.
-
C.
Vortex
Vortex is a stand-up steel roller coaster at the Carowinds amusement park known for its inversions and intense, compact layout.
-
D.
Vortex
Vortex is a 2021 French drama film by Gaspar Noé that portrays an elderly couple’s harrowing descent into dementia and decline through an experimental split-screen narrative.
-
E.
Vortex
Vortex is a fictional character from the Transformers franchise, typically depicted as a Decepticon Combaticon who transforms into a military helicopter and specializes in aerial combat and interrogation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Triple Vortex Triple: [WhiteWater World, hasAttraction, Triple Vortex]
Generated description
Triple Vortex is a multi-slide water ride attraction at the WhiteWater World theme park in Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triple Vortex Target entity description: Triple Vortex is a multi-slide water ride attraction at the WhiteWater World theme park in Australia.
-
A.
Vortex
Vortex is a spinning pendulum thrill ride at Thorpe Park known for its intense swinging and rotating motion.
-
B.
Vortex
Vortex is a stand-up steel roller coaster at the Carowinds amusement park known for its inversions and intense, compact layout.
-
C.
Vortex
Vortex is a 2021 French drama film by Gaspar Noé that portrays an elderly couple’s harrowing descent into dementia and decline through an experimental split-screen narrative.
-
D.
Vortex
Vortex is the high-performance CPU core microarchitecture used in Apple’s A12X Bionic system-on-chip for iPad Pro devices.
-
E.
Vortex
Vortex is a fictional character from the Transformers franchise, typically depicted as a Decepticon Combaticon who transforms into a military helicopter and specializes in aerial combat and interrogation.
- F. None of above. chosen
Provenance (5 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb93e94c8190beba605e26d4552c |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdff025e00819089ad734f74b64f26 |
completed | May 8, 2026, 3:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff8bdefc8190a4a66c742e1cae83 |
completed | May 8, 2026, 3:21 p.m. |
Created at: April 10, 2026, 1:30 a.m.