Triple

T5670811
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Roskilde E124970 entity
Predicate cededTerritory P13709 FINISHED
Object Blekinge E160990 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: Blekinge | Statement: [Treaty of Roskilde, cededTerritory, Blekinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blekinge
Context triple: [Treaty of Roskilde, cededTerritory, Blekinge]
  • A. Blekinge chosen
    Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
  • 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. Kalmar län
    Kalmar län is a county in southeastern Sweden known for its Baltic Sea coastline, historic towns, and the island of Öland.
  • 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. Närke
    Närke is a historical province in central Sweden known for its Central Swedish dialects and its location around the city of Örebro.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02349b570819090f754a2f25e4cf3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712687f408190ac948dcc990e8e08 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 3:43 p.m.