Triple

T10536740
Position Surface form Disambiguated ID Type / Status
Subject Västmanland E248581 entity
Predicate partlyIn P35 FINISHED
Object Bergslagen mining region E674422 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: Bergslagen mining region | Statement: [Västmanland, partlyIn, Bergslagen mining region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergslagen mining region
Context triple: [Västmanland, partlyIn, Bergslagen mining region]
  • 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. Botkyrka region
    The Botkyrka region is a municipality in Stockholm County, Sweden, known for its cultural diversity and historical association with the medieval saint Botvid.
  • C. Dalsland
    Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
  • D. Härjedalen
    Härjedalen is a sparsely populated historical province in central Sweden known for its mountainous landscapes, wilderness areas, and outdoor recreation.
  • 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_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_69d9340da2948190950e7c0ceea12cb1 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:31 p.m.