Triple

T22697476
Position Surface form Disambiguated ID Type / Status
Subject Białka E561220 entity
Predicate hasTourismInfrastructureNearby P7835 FINISHED
Object ski resorts in Białka Tatrzańska 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: ski resorts in Białka Tatrzańska | Statement: [Białka, hasTourismInfrastructureNearby, ski resorts in Białka Tatrzańska]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismInfrastructureNearby
Context triple: [Białka, hasTourismInfrastructureNearby, ski resorts in Białka Tatrzańska]
  • A. hasTouristInfrastructure chosen
    Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
  • B. hasAttractionNearby
    Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
  • C. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • D. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • E. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789f26848190bcc5a99e3ed909e7 completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:14 p.m.