Triple

T20874703
Position Surface form Disambiguated ID Type / Status
Subject Mårbacka E513987 entity
Predicate hasLanguageOfGuidedTours P48682 FINISHED
Object Swedish 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: Swedish | Statement: [Mårbacka, hasLanguageOfGuidedTours, Swedish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfGuidedTours
Context triple: [Mårbacka, hasLanguageOfGuidedTours, Swedish]
  • A. languageOfOfficialGuides
    Indicates the language in which official guides or instructional materials are provided or published.
  • B. hasLanguageOfExploration
    Indicates that an entity uses or is associated with a particular language for exploration, investigation, or discovery activities.
  • C. hasLanguageOfExhibitions
    Indicates that an entity uses a specified language for its exhibitions or exhibition-related content.
  • D. hasGuidebook
    Indicates that an entity possesses, is associated with, or is provided with a guidebook.
  • E. languageUsedInTourism chosen
    Indicates that a particular language is used for communication and services within tourism activities or contexts.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c674075081909e0819b20bdbb7f4 completed April 21, 2026, 12:36 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:45 p.m.