Triple

T3977544
Position Surface form Disambiguated ID Type / Status
Subject Kuranda Scenic Railway E85678 entity
Predicate tourismIntegration P33214 FINISHED
Object often combined with Skyrail Rainforest Cableway 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: often combined with Skyrail Rainforest Cableway | Statement: [Kuranda Scenic Railway, tourismIntegration, often combined with Skyrail Rainforest Cableway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tourismIntegration
Context triple: [Kuranda Scenic Railway, tourismIntegration, often combined with Skyrail Rainforest Cableway]
  • A. tourismFeature chosen
    Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
  • B. tourismAssociation
    Indicates that there is an organizational or formal association related to tourism activities, services, or promotion between the involved entities.
  • C. tourismFrom
    Indicates that tourists or visitor activity originates from one place and is directed toward another location.
  • D. tourismTheme
    Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
  • E. tourismBoom
    Indicates a rapid and significant increase in tourism activity, such as visitor numbers, spending, or development, within a particular place or period.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.