Triple

T18184610
Position Surface form Disambiguated ID Type / Status
Subject St Peter’s Church in Klippan E435376 entity
Predicate region P40 FINISHED
Object Skåne 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: Skåne | Statement: [St Peter’s Church in Klippan, region, Skåne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skåne
Context triple: [St Peter’s Church in Klippan, region, Skåne]
  • A. Skåne chosen
    Skåne is the southernmost historical province of Sweden, known for its fertile farmland, coastal landscapes, and cultural ties to both Sweden and Denmark.
  • B. Västergötland
    Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
  • C. Småland
    Småland is a historical province in southern Sweden known for its forests, lakes, traditional red cottages, and as the birthplace of IKEA founder Ingvar Kamprad.
  • D. Skåne County
    Skåne County is Sweden’s southernmost county, known for its fertile farmland, coastal landscapes, and major cities such as Malmö and Lund.
  • E. Blekinge
    Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffd0abc81908cc07d28bdc3d48f completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.