Triple

T3894940
Position Surface form Disambiguated ID Type / Status
Subject Åre E88146 entity
Predicate locatedIn P40 FINISHED
Object northern Sweden E82897 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: northern Sweden | Statement: [Åre, locatedIn, northern Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Sweden
Context triple: [Åre, locatedIn, northern Sweden]
  • A. northern Sweden chosen
    Northern Sweden is a sparsely populated, subarctic region known for its vast forests, mountains, and traditional Sámi culture, including reindeer herding and indigenous languages.
  • B. western Sweden
    Western Sweden is a coastal region of Sweden along the North Sea, known for its rugged archipelago, fishing communities, and proximity to the Norwegian border.
  • C. eastern Sweden
    Eastern Sweden is a populous and economically significant region of Sweden that includes the capital city of Stockholm and its surrounding areas.
  • D. southern Sweden
    Southern Sweden is the historically rich and agriculturally fertile southernmost region of Sweden, encompassing provinces like Skåne and known for its milder climate and proximity to Denmark.
  • E. Jämtland region
    Jämtland region is a sparsely populated county in central Sweden known for its lakes, forests, mountains, and outdoor recreation tourism.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd197148190b5b24f7097c6049a completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c99bab88190bd63f5b9b3950001 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.