Triple

T15784351
Position Surface form Disambiguated ID Type / Status
Subject Mako E382697 entity
Predicate designer P184 FINISHED
Object Bolliger & Mabillard E114474 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: Bolliger & Mabillard | Statement: [Mako, designer, Bolliger & Mabillard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolliger & Mabillard
Context triple: [Mako, designer, Bolliger & Mabillard]
  • A. Bolliger & Mabillard chosen
    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.
  • B. Gerstlauer
    Gerstlauer is a German amusement ride and roller coaster manufacturer known for designing compact, innovative, and high-thrill attractions for theme parks worldwide.
  • C. Zamperla
    Zamperla is an Italian amusement ride manufacturer known worldwide for producing family-friendly attractions and roller coasters for theme parks.
  • D. Great Coasters International
    Great Coasters International is an American roller coaster design and manufacturing company best known for its modern wooden coasters featuring smooth, twisted layouts and classic out-and-back designs.
  • E. Parques Reunidos
    Parques Reunidos is a global leisure park operator that owns and manages a large portfolio of amusement, theme, water, and animal parks across multiple countries.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05401c4788190a31c180953433db9 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9987140c8190a50da103905a7930 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.