Triple

T28377282
Position Surface form Disambiguated ID Type / Status
Subject Tomorrowland side of Disneyland Railroad route E718785 entity
Predicate hasRideDurationContribution P53572 FINISHED
Object portion of full Disneyland Railroad circuit time 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: portion of full Disneyland Railroad circuit time | Statement: [Tomorrowland side of Disneyland Railroad route, hasRideDurationContribution, portion of full Disneyland Railroad circuit time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRideDurationContribution
Context triple: [Tomorrowland side of Disneyland Railroad route, hasRideDurationContribution, portion of full Disneyland Railroad circuit time]
  • A. hasTrailDuration chosen
    Indicates that an entity (such as a trail or route) is associated with a specific amount of time required to traverse or complete it.
  • B. hasSubRide
    Indicates that a ride or journey is composed of, or includes, one or more smaller component rides or segments.
  • C. hasRideIntensity
    Indicates the degree or level of intensity associated with a ride experience.
  • D. rideDuration
    Indicates the length of time that a ride or trip lasts from start to finish.
  • E. hasDurationCharacteristic
    Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
  • 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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6c1265c208190aacd2b551f8f0f82 completed May 3, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69f6bd2415fc81908c23c311aebce66f completed May 3, 2026, 3:12 a.m.
Created at: April 28, 2026, 1:03 a.m.