Triple

T15514085
Position Surface form Disambiguated ID Type / Status
Subject WinterFest (Worlds of Fun) E368788 entity
Predicate locatedIn P40 FINISHED
Object Worlds of Fun E75577 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: Worlds of Fun | Statement: [WinterFest (Worlds of Fun), locatedIn, Worlds of Fun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worlds of Fun
Context triple: [WinterFest (Worlds of Fun), locatedIn, Worlds of Fun]
  • A. Worlds of Fun chosen
    Worlds of Fun is a large amusement park in the Kansas City area known for its roller coasters, family rides, and seasonal events.
  • B. Phantasialand
    Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and attractions.
  • C. Top of the World Park
    Top of the World Park is a scenic hilltop park in Laguna Beach, California, known for its panoramic ocean and canyon views and popular hiking and biking trails.
  • D. Funtown Splashtown USA
    Funtown Splashtown USA is a combined amusement and water park known for its family-friendly rides, water slides, and seasonal attractions.
  • E. Astroland
    Astroland was a historic space-themed amusement park on Coney Island in Brooklyn, New York, that operated from the early 1960s until its closure in 2008.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6780ee3081908a0a833d887b1829 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:02 a.m.