Triple
T4122633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's Blizzard Beach Water Park |
E92648
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Toboggan Racers
Toboggan Racers is a high-speed, multi-lane mat racing water slide attraction themed to a snowy downhill race.
|
E416125
|
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: Toboggan Racers | Statement: [Disney's Blizzard Beach Water Park, hasAttraction, Toboggan Racers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toboggan Racers Context triple: [Disney's Blizzard Beach Water Park, hasAttraction, Toboggan Racers]
-
A.
Ice Blast
Ice Blast is a high-thrill drop tower ride located at the Blackpool Pleasure Beach amusement park in England.
-
B.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
C.
La Rampa
La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
-
D.
Fastest Skater
Fastest Skater is an NHL All-Star skills competition event that showcases which player can complete a lap around the rink in the shortest time.
-
E.
Polar Play Zone
Polar Play Zone is a family-focused, polar-themed exhibit at Chicago’s Shedd Aquarium where children can explore and learn about Arctic and Antarctic wildlife through interactive play.
- 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: Toboggan Racers Triple: [Disney's Blizzard Beach Water Park, hasAttraction, Toboggan Racers]
Generated description
Toboggan Racers is a high-speed, multi-lane mat racing water slide attraction themed to a snowy downhill race.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toboggan Racers Target entity description: Toboggan Racers is a high-speed, multi-lane mat racing water slide attraction themed to a snowy downhill race.
-
A.
Ice Blast
Ice Blast is a high-thrill drop tower ride located at the Blackpool Pleasure Beach amusement park in England.
-
B.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
C.
La Rampa
La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
-
D.
Fastest Skater
Fastest Skater is an NHL All-Star skills competition event that showcases which player can complete a lap around the rink in the shortest time.
-
E.
Polar Play Zone
Polar Play Zone is a family-focused, polar-themed exhibit at Chicago’s Shedd Aquarium where children can explore and learn about Arctic and Antarctic wildlife through interactive play.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020728a08190a50a16b40690cbce |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b13cc881908fea25c686141546 |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577ac31888190b6182b00bd5c709f |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57839ee548190804ef306fc9b3a6e |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:41 p.m.