Triple

T20874107
Position Surface form Disambiguated ID Type / Status
Subject Suspended Looping Coaster E513971 entity
Predicate restraintSystem P22102 FINISHED
Object mechanical and hydraulic locking mechanisms LITERAL 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: mechanical and hydraulic locking mechanisms | Statement: [Suspended Looping Coaster, restraintSystem, mechanical and hydraulic locking mechanisms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restraintSystem
Context triple: [Suspended Looping Coaster, restraintSystem, mechanical and hydraulic locking mechanisms]
  • A. hasIntruderDetectionSystem
    Indicates that an entity is equipped with a system designed to detect unauthorized or intruding entities.
  • B. restraintType chosen
    Indicates the specific kind or method of restraint applied in a given situation or relationship.
  • C. hasArrestingGear
    Indicates that an entity is equipped with a system or mechanism used to rapidly decelerate and stop another entity, typically during landing or capture.
  • D. restraintManufacturer
    Indicates that one entity is the manufacturer or producer of a restraint device used to limit or control another entity.
  • E. usesBeltSystem
    Indicates that a subject employs a structured belt-ranking system (e.g., colored belts) to denote levels of skill, progress, or status.
  • F. None of above.

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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c46639308190a616193f3975d453 completed April 21, 2026, 12:27 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:45 p.m.