Triple

T14533783
Position Surface form Disambiguated ID Type / Status
Subject Golden Ticket Awards E340983 entity
Predicate notableMultipleWinner P6588 FINISHED
Object Cedar Point E219191 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 Point | Statement: [Golden Ticket Awards, notableMultipleWinner, Cedar Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Point
Context triple: [Golden Ticket Awards, notableMultipleWinner, Cedar Point]
  • A. Cedar Point chosen
    Cedar Point is a renowned amusement park in Sandusky, Ohio, famous for its large collection of record-breaking roller coasters and thrill rides.
  • B. Cedar Point
    Cedar Point is a natural area within Jacksonville, Florida, known for its coastal habitats, hiking trails, and wildlife viewing opportunities.
  • C. Kings Island
    Kings Island is a large amusement and theme park in Mason, Ohio, known for its roller coasters and family attractions.
  • D. King's Island
    King's Island is the historic core of Limerick city, Ireland, known for landmarks like King John’s Castle and its medieval streetscape.
  • E. Hersheypark
    Hersheypark is a large chocolate-themed amusement park in Hershey, Pennsylvania, known for its roller coasters, family rides, and proximity to Hershey’s chocolate attractions.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea053f9bc8190901b9d321811d881 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a589d488190b4a192f33d11092d completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.