Triple

T5350913
Position Surface form Disambiguated ID Type / Status
Subject Yukon Striker E124175 entity
Predicate locatedIn P40 FINISHED
Object Canada's Wonderland E23337 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: Canada's Wonderland | Statement: [Yukon Striker, locatedIn, Canada's Wonderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada's Wonderland
Context triple: [Yukon Striker, locatedIn, Canada's Wonderland]
  • A. Canada's Wonderland chosen
    Canada's Wonderland is a major amusement park near Toronto known for its large collection of roller coasters and family attractions.
  • B. Phantasialand
    Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and attractions.
  • C. 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.
  • D. 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.
  • E. Kings Dominion
    Kings Dominion is a large amusement and theme park in Doswell, Virginia, known for its roller coasters and family 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860fe4048190846a933d0e1b9386 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fd0a2c48190ba0c2e3259c3691f completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 2:01 p.m.