Triple

T18132147
Position Surface form Disambiguated ID Type / Status
Subject Seljord E434038 entity
Predicate hasTouristAttraction P530 FINISHED
Object Dyrsku’n fair 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: Dyrsku’n fair | Statement: [Seljord, hasTouristAttraction, Dyrsku’n fair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyrsku’n fair
Context triple: [Seljord, hasTouristAttraction, Dyrsku’n fair]
  • A. Dyrsku’n fair chosen
    Dyrsku’n fair is a large traditional agricultural and livestock fair in Seljord, Norway, known for showcasing farming culture, local crafts, and rural heritage.
  • B. The Dogs
    The Dogs is a nickname commonly used for sports teams or groups whose mascots or identities are associated with dogs, often evoking toughness and loyalty.
  • C. Vlčie hrdlo
    Vlčie hrdlo is a locality in Bratislava, Slovakia, known for its industrial zone and riverside setting along the Danube.
  • D. Livsfrisen
    Livsfrisen is a series of thematically connected paintings by Edvard Munch that explore profound human experiences such as love, anxiety, and death.
  • E. Trhové Sviny
    Trhové Sviny is a small historic town in the South Bohemian Region of the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf2c68881909dfbe59df15ddccc completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.