Triple

T10536739
Position Surface form Disambiguated ID Type / Status
Subject Västmanland E248581 entity
Predicate hasForestRegion P285 FINISHED
Object Bergslagen E674422 NE FINISHED

How this triple was built (3 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: Bergslagen | Statement: [Västmanland, hasForestRegion, Bergslagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergslagen
Context triple: [Västmanland, hasForestRegion, Bergslagen]
  • A. Bergslagen chosen
    Bergslagen is a historic mining and industrial region in central Sweden known for its rich iron ore deposits and long-standing metallurgical industry.
  • B. Dalsland
    Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
  • C. Bohuslän
    Bohuslän is a coastal province in western Sweden known for its rugged granite shoreline, fishing villages, and archipelago along the Skagerrak.
  • D. Dalarna
    Dalarna is a historical province in central Sweden known for its distinct cultural traditions, including unique dialects, folk costumes, and the iconic Dala horse.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasForestRegion
Context triple: [Västmanland, hasForestRegion, Bergslagen]
  • A. hasForestType
    Indicates that an area or location is characterized by a specific type or classification of forest.
  • B. isForested
    Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
  • C. hasRegion chosen
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. hasNationalForest
    Indicates that a place or jurisdiction contains, includes, or is home to at least one designated national forest.
  • E. forestArea
    Indicates the extent or size of land covered by forest within a given area or region.
  • F. None of above.

Provenance (4 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_69d90e507b408190ae3538d02536ef4c completed April 10, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69d4fb9729288190a0149f127acd7ae3 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:31 p.m.