Triple

T20163605
Position Surface form Disambiguated ID Type / Status
Subject GateKeeper E491774 entity
Predicate model P2006 FINISHED
Object Wing Coaster 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: Wing Coaster | Statement: [GateKeeper, model, Wing Coaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wing Coaster
Context triple: [GateKeeper, model, Wing Coaster]
  • A. Flying Coaster
    Flying Coaster is a type of steel roller coaster featuring a prone, face-down riding position that simulates the sensation of flying.
  • B. B&M Wing Coaster chosen
    B&M Wing Coaster is a Bolliger & Mabillard roller coaster design where riders sit in winged seats positioned on either side of the track for an exposed, flying sensation.
  • C. Wild Wing
    Wild Wing is the anthropomorphic duck mascot of the NHL's Anaheim Ducks, known for his energetic in-game antics and appearances at team events.
  • D. Hyper Coaster
    Hyper Coaster is a high-thrill roller coaster model characterized by tall drops, high speeds, and airtime-focused layouts typically exceeding traditional coaster height and speed benchmarks.
  • E. Kicking Wing
    Kicking Wing is a Native American fireworks salesman and friend of the title character in the comedy film "Joe Dirt."
  • 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.