Triple

T17149307
Position Surface form Disambiguated ID Type / Status
Subject Jersey Devil Coaster E416176 entity
Predicate model P2006 FINISHED
Object Raptor Track E1096423 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: Raptor Track | Statement: [Jersey Devil Coaster, model, Raptor Track]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raptor Track
Context triple: [Jersey Devil Coaster, model, Raptor Track]
  • A. Raptor Track chosen
    Raptor Track is a model of roller coaster train or track system designed for high-speed, dynamic thrill rides.
  • B. The Raptor
    The Raptor is the high-energy, dinosaur-themed official mascot of the NBA’s Toronto Raptors, known for acrobatic antics and entertaining fans during games.
  • C. Raptor
    Raptor is a steel inverted roller coaster at Cedar Point known for its intense inversions and high-speed, suspended-track design.
  • D. Raptor
    Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
  • E. Raptor
    Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4059d90819092d3609326fa3130 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415b1d7c81908d000b0362042687 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.