Triple

T14531708
Position Surface form Disambiguated ID Type / Status
Subject Rögle BK E340930 entity
Predicate region P40 FINISHED
Object Skåne County E300551 NE 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: Skåne County | Statement: [Rögle BK, region, Skåne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skåne County
Context triple: [Rögle BK, region, Skåne County]
  • A. Skåne County chosen
    Skåne County is Sweden’s southernmost county, known for its fertile farmland, coastal landscapes, and major cities such as Malmö and Lund.
  • B. Östergötland County
    Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
  • C. Västra Götaland County
    Västra Götaland County is a large administrative region in western Sweden that includes the city of Gothenburg and serves as an important hub for industry, culture, and transportation.
  • D. Malmöhus County
    Malmöhus County was a former administrative county in southern Sweden that encompassed the area around the city of Malmö before being merged into the present-day Skåne County.
  • 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 (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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:22 a.m.