Triple

T16262987
Position Surface form Disambiguated ID Type / Status
Subject Trelleborg E394800 entity
Predicate administrativeDivision P747 FINISHED
Object Skåne län 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 län | Statement: [Trelleborg, administrativeDivision, Skåne län]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skåne län
Context triple: [Trelleborg, administrativeDivision, Skåne län]
  • 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. 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.
  • C. 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.
  • D. Kalmar län
    Kalmar län is a county in southeastern Sweden known for its Baltic Sea coastline, historic towns, and the island of Öland.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004571013c8190ae3e4ecd17c08004 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:04 a.m.