Triple

T17825916
Position Surface form Disambiguated ID Type / Status
Subject Ljusnarsberg Municipality E445116 entity
Predicate countrySubdivision P766 FINISHED
Object province of Västmanland — NE NERFINISHED

How this triple was built (3 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: province of Västmanland | Statement: [Ljusnarsberg Municipality, countrySubdivision, province of Västmanland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: province of Västmanland
Context triple: [Ljusnarsberg Municipality, countrySubdivision, province of Västmanland]
  • A. province of Södermanland
    The province of Södermanland is a historical region in eastern Sweden known for its mix of forests, lakes, and coastline along the Baltic Sea, as well as its castles and old manor houses.
  • B. province of Dalarna
    The province of Dalarna is a historic region in central Sweden known for its traditional folk culture, red-painted cottages, and iconic Dala horse carvings.
  • C. Province of Uppsala
    The Province of Uppsala is an ecclesiastical jurisdiction of the Church of Sweden encompassing several dioceses under the leadership of the Archdiocese of Uppsala.
  • D. province of Östergötland
    The province of Östergötland is a historical and cultural region in southeastern Sweden known for its medieval heritage, fertile plains, and major cities such as Linköping and Norrköping.
  • E. Västmanland County
    Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: province of Västmanland
Target entity description: The province of Västmanland is a historical region in central Sweden known for its forests, lakes, and long tradition of mining and metalworking.
  • A. province of Södermanland
    The province of Södermanland is a historical region in eastern Sweden known for its mix of forests, lakes, and coastline along the Baltic Sea, as well as its castles and old manor houses.
  • B. province of Dalarna
    The province of Dalarna is a historic region in central Sweden known for its traditional folk culture, red-painted cottages, and iconic Dala horse carvings.
  • C. Province of Uppsala
    The Province of Uppsala is an ecclesiastical jurisdiction of the Church of Sweden encompassing several dioceses under the leadership of the Archdiocese of Uppsala.
  • D. province of Östergötland
    The province of Östergötland is a historical and cultural region in southeastern Sweden known for its medieval heritage, fertile plains, and major cities such as Linköping and Norrköping.
  • E. Västmanland County
    Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
  • F. None of above. chosen

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914226c819083edcc78e00b2d42 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.