Triple

T15784352
Position Surface form Disambiguated ID Type / Status
Subject Mako E382697 entity
Predicate model P2006 FINISHED
Object Hyper Coaster E116139 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: Hyper Coaster | Statement: [Mako, model, Hyper Coaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyper Coaster
Context triple: [Mako, model, Hyper Coaster]
  • A. Hyper Coaster chosen
    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.
  • B. The Giant Coaster
    The Giant Coaster is the historic wooden roller coaster later known as Wild One, renowned as one of the classic early 20th-century coasters in the United States.
  • C. Dragon Coaster
    Dragon Coaster is a historic wooden roller coaster located at Playland Park in Rye, New York, known for its classic out-and-back layout and nostalgic thrill.
  • D. Dragon Coaster
    Dragon Coaster is a family-friendly steel roller coaster located at Canobie Lake Park in Salem, New Hampshire.
  • E. Accelerator Coaster
    Accelerator Coaster is a high-speed roller coaster type that uses powerful launch mechanisms to propel trains to extreme velocities in a short distance.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05401c4788190a31c180953433db9 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a4661481909d04bcb9f5043a6b completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.