Triple

T1125152
Position Surface form Disambiguated ID Type / Status
Subject Bygdøy Royal Estate E24701 entity
Predicate hasLanguageOfCountry P4185 FINISHED
Object Norwegian 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: Norwegian | Statement: [Bygdøy Royal Estate, hasLanguageOfCountry, Norwegian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfCountry
Context triple: [Bygdøy Royal Estate, hasLanguageOfCountry, Norwegian]
  • A. isLinguaFrancaOf
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • B. isLanguageOf chosen
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • C. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • D. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • E. isCulturalLanguageOf
    Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4749ac8190b0fbddac2e9b2586 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.