Triple

T6331398
Position Surface form Disambiguated ID Type / Status
Subject Wet ’n Wild Orlando E142388 entity
Predicate hasBrand P1500 FINISHED
Object Wet ’n Wild E346486 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: Wet ’n Wild | Statement: [Wet ’n Wild Orlando, hasBrand, Wet ’n Wild]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wet ’n Wild
Context triple: [Wet ’n Wild Orlando, hasBrand, Wet ’n Wild]
  • A. Wet'n'Wild Water World chosen
    Wet'n'Wild Water World is a major Australian water park on the Gold Coast, known for its large variety of water slides, pools, and family attractions.
  • B. Wet ’n Wild Orlando
    Wet ’n Wild Orlando was a pioneering Orlando water park, long operated by Universal, that became one of the area’s most popular aquatic attractions before its closure.
  • C. Waldameer Park & Water World
    Waldameer Park & Water World is a historic family amusement and water park featuring roller coasters, water slides, and classic rides near the Lake Erie shoreline.
  • D. Phantasialand
    Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and attractions.
  • E. Six Flags
    Six Flags is a major American amusement park company known for its large chain of thrill-ride and roller coaster theme parks across North America.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d412bc88190aa8ee0a40ec8bc30 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:30 p.m.