Triple

T6304725
Position Surface form Disambiguated ID Type / Status
Subject Paramount Parks E141345 entity
Predicate ownedPark P22590 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: [Paramount Parks, ownedPark, Canada's Wonderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada's Wonderland
Context triple: [Paramount Parks, ownedPark, 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. Wonderland Amusement Park
    Wonderland Amusement Park was a historic amusement park in Revere, Massachusetts, known for its early 20th-century rides, attractions, and seaside entertainment.
  • C. Phantasialand
    Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and 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. 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.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06741fbbc81908d947182b197bf59 completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66376b63081909fefd93790fa4b55 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:28 p.m.