Triple

T2394669
Position Surface form Disambiguated ID Type / Status
Subject Michigan’s Adventure E47620 entity
Predicate operator P179 FINISHED
Object Cedar Fair E124171 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: Cedar Fair | Statement: [Michigan’s Adventure, operator, Cedar Fair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Fair
Context triple: [Michigan’s Adventure, operator, Cedar Fair]
  • A. Cedar Fair chosen
    Cedar Fair is a major North American amusement park operator known for owning and managing numerous theme and water parks across the United States and Canada.
  • B. 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.
  • C. Six Flags Great Adventure
    Six Flags Great Adventure is a major theme park and entertainment complex known for its large collection of roller coasters and thrill rides, located in Jackson, New Jersey.
  • D. Six Flags Discovery Kingdom
    Six Flags Discovery Kingdom is a marine life, wildlife, and thrill-ride theme park located in Vallejo, California, known for its roller coasters and animal exhibits.
  • E. Spa World
    Spa World is a large Osaka leisure complex famous for its extensive themed hot spring baths, pools, and relaxation facilities.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc87827d88190bb2351a688e6de32 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3a3a2c8190a29b8ce47e40c3f8 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.