Triple

T16462948
Position Surface form Disambiguated ID Type / Status
Subject Hurricane Force 5 E399852 entity
Predicate manufacturer P490 FINISHED
Object Zamperla E519031 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: Zamperla | Statement: [Hurricane Force 5, manufacturer, Zamperla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zamperla
Context triple: [Hurricane Force 5, manufacturer, Zamperla]
  • A. Zamperla chosen
    Zamperla is an Italian amusement ride manufacturer known worldwide for producing family-friendly attractions and roller coasters for theme parks.
  • B. Bolliger & Mabillard
    Bolliger & Mabillard is a Swiss roller coaster design and manufacturing company renowned for creating some of the world's most innovative and high-profile steel coasters.
  • C. Gerstlauer
    Gerstlauer is a German amusement ride and roller coaster manufacturer known for designing compact, innovative, and high-thrill attractions for theme parks worldwide.
  • D. Intamin
    Intamin is a Swiss-based company renowned worldwide for designing and manufacturing major amusement rides and roller coasters for theme parks.
  • E. Saenger Amusement Company
    Saenger Amusement Company was a prominent early 20th-century American theater chain and entertainment company known for developing lavish movie palaces across the Southern United States.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d824cd881909b1f2fd40e14ee35 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f555f6081908b1f0d524b6fb9a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.