Triple

T6602991
Position Surface form Disambiguated ID Type / Status
Subject Åkersberga E149045 entity
Predicate locatedIn P40 FINISHED
Object eastern Sweden E103986 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: eastern Sweden | Statement: [Åkersberga, locatedIn, eastern Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Sweden
Context triple: [Åkersberga, locatedIn, eastern Sweden]
  • A. eastern Sweden chosen
    Eastern Sweden is a populous and economically significant region of Sweden that includes the capital city of Stockholm and its surrounding areas.
  • B. southeastern Sweden
    Southeastern Sweden is a region of Sweden along the Baltic Sea coast known for its archipelagos, coastal towns, and mixed rural and urban landscapes.
  • C. 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.
  • 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. southwestern Sweden
    Southwestern Sweden is a coastal region of Sweden along the Kattegat Sea, known for its mild climate, sandy beaches, and a mix of agricultural landscapes and growing urban areas.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43860f081908fbf1ec65bdad940 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.