Triple

T5853155
Position Surface form Disambiguated ID Type / Status
Subject Beech Bend Park E130084 entity
Predicate hasRollerCoaster P23566 FINISHED
Object Kentucky Rumbler E550201 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: Kentucky Rumbler | Statement: [Beech Bend Park, hasRollerCoaster, Kentucky Rumbler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kentucky Rumbler
Context triple: [Beech Bend Park, hasRollerCoaster, Kentucky Rumbler]
  • A. Kentucky Rumbler chosen
    Kentucky Rumbler is a wooden roller coaster known for its intense airtime and classic out-and-back layout at Beech Bend Park in Bowling Green, Kentucky.
  • B. Badgerline
    Badgerline was a major British bus operator that emerged from the privatization of the National Bus Company and later became a core part of the transport group FirstGroup.
  • C. Toofer
    Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
  • D. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • E. Burrell Boom
    Burrell Boom is a riverside village in Belize known historically as a logwood and mahogany trading point and now as a quiet rural community and gateway to nearby wildlife and river tours.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1007bbc81908963d3d14c9210c5 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.