Triple

T20163583
Position Surface form Disambiguated ID Type / Status
Subject Fury 325 E491773 entity
Predicate awardedBy P287 FINISHED
Object Amusement Today 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: Amusement Today | Statement: [Fury 325, awardedBy, Amusement Today]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amusement Today
Context triple: [Fury 325, awardedBy, Amusement Today]
  • A. Amusement Today chosen
    Amusement Today is a trade publication focused on the amusement and theme park industry, known for presenting the annual Golden Ticket Awards recognizing excellence in parks and attractions.
  • B. Amusement Parks U.S.A.
    "Amusement Parks U.S.A." is an upbeat, nostalgia-driven rock song by the Beach Boys that celebrates the fun and excitement of American amusement parks.
  • C. Amusement Field
    Amusement Field was an earlier name for the historic Field of Mars, a prominent public space in Saint Petersburg, Russia, known for its military parades and later as a memorial site.
  • D. Standard Amusements
    Standard Amusements is a private company involved in managing and revitalizing amusement and theme park properties.
  • E. Worlds of Fun
    Worlds of Fun is a large amusement park in the Kansas City area known for its roller coasters, family rides, and seasonal events.
  • 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.