Triple

T21929915
Position Surface form Disambiguated ID Type / Status
Subject Dudley Do-Right’s Ripsaw Falls E541540 entity
Predicate themedArea P20708 FINISHED
Object Toon Lagoon NE NERFINISHED

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: Toon Lagoon | Statement: [Dudley Do-Right’s Ripsaw Falls, themedArea, Toon Lagoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toon Lagoon
Context triple: [Dudley Do-Right’s Ripsaw Falls, themedArea, Toon Lagoon]
  • A. Toon Lagoon chosen
    Toon Lagoon is a cartoon-themed area at Universal's Islands of Adventure known for its water rides and classic comic strip characters.
  • B. Goo Lagoon
    Goo Lagoon is a popular underwater beach and recreational area in the animated series "SpongeBob SquarePants," known for its goo-filled shoreline and frequent character hangouts.
  • C. Aquaboggan Water Park
    Aquaboggan Water Park is a seasonal outdoor water park in Saco, Maine, featuring water slides, pools, and family-friendly attractions.
  • D. Rulantica water park
    Rulantica water park is a large Nordic-themed indoor and outdoor water attraction complex in Rust, Germany, operated by the owners of Europa-Park.
  • E. Loompaland
    Loompaland is the remote, fictional homeland of the Oompa-Loompas in Roald Dahl’s Willy Wonka stories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fdd88081909dc7d4a05fb0ee35 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.