Triple

T1477985
Position Surface form Disambiguated ID Type / Status
Subject Scanian War E30885 entity
Predicate involvedTerritory P1059 FINISHED
Object Halland E129995 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: Halland | Statement: [Scanian War, involvedTerritory, Halland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halland
Context triple: [Scanian War, involvedTerritory, Halland]
  • A. Halland chosen
    Halland is a historical province on Sweden’s southwest coast along the Kattegat, known for its strategic coastal location and fertile agricultural landscape.
  • B. Gotland County
    Gotland County is an administrative region of Sweden encompassing the island of Gotland in the Baltic Sea, known for its medieval heritage and unique insular culture.
  • C. 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.
  • D. Västergötland
    Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
  • E. Öland
    Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
  • 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.