Triple

T5073135
Position Surface form Disambiguated ID Type / Status
Subject Intamin E114327 entity
Predicate notableWork P4 FINISHED
Object Kingda Ka E416171 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: Kingda Ka | Statement: [Intamin, notableWork, Kingda Ka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingda Ka
Context triple: [Intamin, notableWork, Kingda Ka]
  • A. Kingda Ka chosen
    Kingda Ka is a record-breaking steel roller coaster renowned as one of the tallest and fastest in the world, located at Six Flags Great Adventure in New Jersey.
  • B. The Gold Coaster
    The Gold Coaster is a steel roller coaster at Dreamworld in Australia known for its high-speed thrills and multiple inversions.
  • C. Millennium Force
    Millennium Force is a record-breaking steel roller coaster at Cedar Point in Ohio, renowned for its towering height, high speed, and status as one of the world’s first giga coasters.
  • D. Medusa Steel Coaster
    Medusa Steel Coaster is a hybrid steel-wood roller coaster at Six Flags México known for its intense inversions and smooth, high-speed ride experience.
  • E. Top Thrill Dragster
    Top Thrill Dragster is a record-breaking steel strata coaster at Cedar Point in Ohio, famed for its extreme height, speed, and hydraulic launch.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74cfa4348190bc50590117a6bcf9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec35e7b848190bbb4cea9d09531e0 completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:39 p.m.