Triple

T20163807
Position Surface form Disambiguated ID Type / Status
Subject Busch Gardens Tampa Bay E491778 entity
Predicate hasRollerCoaster P23566 FINISHED
Object Cheetah Hunt NE NERFINISHED

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: Cheetah Hunt | Statement: [Busch Gardens Tampa Bay, hasRollerCoaster, Cheetah Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheetah Hunt
Context triple: [Busch Gardens Tampa Bay, hasRollerCoaster, Cheetah Hunt]
  • A. Cheetah Hunt chosen
    Cheetah Hunt is a multi-launch steel roller coaster at Busch Gardens Tampa Bay known for its high speeds, long track layout, and cheetah-inspired theme.
  • B. Hunter the Cheetah
    Hunter the Cheetah is a recurring ally and playable character in the Spyro the Dragon video game series, known for assisting Spyro with challenges and mini-games.
  • C. Safari Hunt
    Safari Hunt is a light gun shooting game for the Sega Master System in which players hunt various animals across scrolling outdoor environments.
  • D. On the Hunt
    On the Hunt is a Hunter-class spell card in Hearthstone that deals damage to a minion while summoning a 1/1 Mastiff companion.
  • E. Big Hunt
    Big Hunt is a literary work by American author James Warner Bellah, known for his Western-themed fiction often centered on the U.S. Cavalry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66841b7d88190af3606f762d87b24 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.