Triple

T17370173
Position Surface form Disambiguated ID Type / Status
Subject bunad costumes E422288 entity
Predicate hasSubtype P1244 FINISHED
Object Setesdalsbunad NE ONNED1

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: Setesdalsbunad | Statement: [bunad costumes, hasSubtype, Setesdalsbunad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setesdalsbunad
Context triple: [bunad costumes, hasSubtype, Setesdalsbunad]
  • A. Dalsnibba
    Dalsnibba is a high mountain viewpoint in Norway famous for its panoramic views over the Geirangerfjord and surrounding alpine landscape.
  • B. Setesdal bunad chosen
    The Setesdal bunad is a traditional Norwegian folk costume from the Setesdal valley, known for its distinctive embroidery, silver jewelry, and use in cultural celebrations and festive occasions.
  • C. Sökkvabekkr
    Sökkvabekkr is a hall in Norse mythology associated with the goddess Sága, often depicted as a tranquil, watery dwelling where she drinks with the god Odin.
  • D. Uttakleiv
    Uttakleiv is a small coastal village in Norway’s Lofoten archipelago, known for its dramatic mountain-backed beach and popularity among photographers and hikers.
  • E. Stöllet
    Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019568a27c8190af1bbe6db75f3e6f in_progress May 11, 2026, 8:38 a.m.
Created at: April 10, 2026, 5:44 a.m.