Triple

T1477987
Position Surface form Disambiguated ID Type / Status
Subject Scanian War E30885 entity
Predicate involvedTerritory P1059 FINISHED
Object Bornholm E23381 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: Bornholm | Statement: [Scanian War, involvedTerritory, Bornholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornholm
Context triple: [Scanian War, involvedTerritory, Bornholm]
  • A. Bornholm chosen
    Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
  • B. Rügen
    Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
  • C. Großbothen
    Großbothen is a village in the German state of Saxony, historically noted as the place where pioneering psychologist Wilhelm Wundt spent his final years and died.
  • D. Halve Maen
    Halve Maen was a Dutch East India Company ship best known for carrying English explorer Henry Hudson on his 1609 voyage that led to the European exploration of the river now called the Hudson River.
  • E. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c605d4c0819088ab06678b2ba6f3 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca21f288190b5f6f9a5895cdcf0 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:11 p.m.