Triple

T26327217
Position Surface form Disambiguated ID Type / Status
Subject Oamaru Blue Penguin Colony E662283 entity
Predicate regionTourismOrganization P128127 FINISHED
Object Tourism Waitaki NE NERFINISHED

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: Tourism Waitaki | Statement: [Oamaru Blue Penguin Colony, regionTourismOrganization, Tourism Waitaki]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionTourismOrganization
Context triple: [Oamaru Blue Penguin Colony, regionTourismOrganization, Tourism Waitaki]
  • A. tourismRegion
    Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
  • B. tourismAssociation
    Indicates that there is an organizational or formal association related to tourism activities, services, or promotion between the involved entities.
  • C. hasTourismOrganization chosen
    Indicates that a place or destination is associated with a specific organization responsible for managing, promoting, or coordinating its tourism activities.
  • D. regionOfTour
    Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
  • E. countryTourismCategory
    Indicates the tourism classification or category assigned to a country based on its tourism characteristics 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_69ee812f32748190871d970c4e2a8ddf completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 26, 2026, 10:31 p.m.