Triple

T7968927
Position Surface form Disambiguated ID Type / Status
Subject Arrow Development E185275 entity
Predicate spaceMountainVersion P63555 FINISHED
Object original Magic Kingdom Space Mountain track and ride system 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: original Magic Kingdom Space Mountain track and ride system | Statement: [Arrow Development, spaceMountainVersion, original Magic Kingdom Space Mountain track and ride system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spaceMountainVersion
Context triple: [Arrow Development, spaceMountainVersion, original Magic Kingdom Space Mountain track and ride system]
  • A. rideHeight
    Indicates the vertical distance between a vehicle’s chassis and the ground, defining how high it sits relative to the surface.
  • B. skiVerticalDrop
    Indicates the vertical distance in elevation from the top to the bottom of a ski run or ski area.
  • C. rollerCoasterType
    Indicates that one entity is classified as a specific type or category of roller coaster in relation to another entity.
  • D. coasterType
    Indicates the specific category or style of a coaster that characterizes its design or function.
  • E. rideFeature chosen
    Indicates that one entity is a feature, characteristic, or component associated with a particular ride.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd1c9a081909759e5bf5237204e completed March 31, 2026, 3:13 a.m.
PD Predicate disambiguation batch_69cb047a8e4c81909b79e0f0bf56440c completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:13 p.m.