Triple

T15514454
Position Surface form Disambiguated ID Type / Status
Subject Scrambler E368797 entity
Predicate parkSection P5641 FINISHED
Object Worlds of Fun (theme park) 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 (theme park) | Statement: [Scrambler, parkSection, Worlds of Fun (theme park)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worlds of Fun (theme park)
Context triple: [Scrambler, parkSection, Worlds of Fun (theme park)]
  • 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. 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.
  • C. Funtown Splashtown USA
    Funtown Splashtown USA is a combined amusement and water park known for its family-friendly rides, water slides, and seasonal attractions.
  • D. Phantasialand
    Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and attractions.
  • 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_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_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:02 a.m.