Triple

T10536707
Position Surface form Disambiguated ID Type / Status
Subject Västmanland E248581 entity
Predicate borders P224 FINISHED
Object Närke 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 | Statement: [Västmanland, borders, Närke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Närke
Context triple: [Västmanland, borders, Närke]
  • 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. Södermanland
    Södermanland is a historical province in eastern Sweden, located south of Lake Mälaren and west of the Baltic Sea, known for its castles, lakes, and early Swedish cultural heritage.
  • C. Blekinge
    Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
  • D. Bohuslän
    Bohuslän is a coastal province in western Sweden known for its rugged granite shoreline, fishing villages, and archipelago along the Skagerrak.
  • E. 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.
  • 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_69de843dfe708190a14dc54be56b112d completed April 14, 2026, 6:15 p.m.
Created at: April 6, 2026, 12:31 p.m.