Triple

T4478473
Position Surface form Disambiguated ID Type / Status
Subject Örebro County E100067 entity
Predicate locatedOn P40 FINISHED
Object Närke Plain E340035 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: Närke Plain | Statement: [Örebro County, locatedOn, Närke Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Närke Plain
Context triple: [Örebro County, locatedOn, Närke Plain]
  • A. Närke chosen
    Närke is a historical province in central Sweden known for its Central Swedish dialects and its location around the city of Örebro.
  • B. Dalsland
    Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
  • C. Uppland
    Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
  • D. Småland
    Småland is a historical province in southern Sweden known for its forests, lakes, traditional red cottages, and as the birthplace of IKEA founder Ingvar Kamprad.
  • E. Härjedalen
    Härjedalen is a sparsely populated historical province in central Sweden known for its mountainous landscapes, wilderness areas, and outdoor recreation.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356db0a008190ad39b68efc095b8d completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65140f9a08190856442534ff46e37 completed March 15, 2026, 6:27 a.m.
Created at: March 12, 2026, 11:35 p.m.