Triple

T20046954
Position Surface form Disambiguated ID Type / Status
Subject Belitung Regency E497583 entity
Predicate hasIslandTourism P138506 FINISHED
Object yes 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: yes | Statement: [Belitung Regency, hasIslandTourism, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIslandTourism
Context triple: [Belitung Regency, hasIslandTourism, yes]
  • A. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • B. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • C. hasTourismHub
    Indicates that a place functions as a central location or focal point for tourism-related activities, services, or attractions for another place or region.
  • D. hasTourismAuthority
    Indicates that an entity holds official responsibility or power to manage, regulate, or oversee tourism-related activities for another entity or area.
  • E. hasTourismIndustry
    Indicates that a place or region possesses an established tourism industry, involving organized services and activities catering to visitors and travelers.
  • F. None of above. chosen

Provenance (4 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc20888819083c9118a09d0d2dc completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 3:37 p.m.