Triple

T10536737
Position Surface form Disambiguated ID Type / Status
Subject Västmanland E248581 entity
Predicate overlapsWith P1867 FINISHED
Object Västmanland County E241527 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: Västmanland County | Statement: [Västmanland, overlapsWith, Västmanland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Västmanland County
Context triple: [Västmanland, overlapsWith, Västmanland County]
  • A. Västmanland County chosen
    Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
  • B. Västmanland
    Västmanland is a historic province in central Sweden known for its forests, lakes, and long tradition of mining and metallurgy.
  • C. Södermanland County
    Södermanland County is an administrative region in east-central Sweden known for its mix of coastal landscapes, forests, and historic towns such as Nyköping and Eskilstuna.
  • D. Jämtland County
    Jämtland County is a large, sparsely populated region in central Sweden known for its mountains, forests, and popular outdoor tourism areas.
  • E. Uppsala County
    Uppsala County is an administrative region in east-central Sweden known for its historic university city of Uppsala and its mix of cultural heritage and rural landscapes.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58a50d0748190a429af33cdced80a completed April 20, 2026, 2:07 a.m.
Created at: April 6, 2026, 12:31 p.m.