Triple

T18840038
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Mining Museum E460766 entity
Predicate regionServed P82 FINISHED
Object Kongsberg region NE NERFINISHED

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: Kongsberg region | Statement: [Norwegian Mining Museum, regionServed, Kongsberg region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kongsberg region
Context triple: [Norwegian Mining Museum, regionServed, Kongsberg region]
  • A. Trysil region
    Trysil region is a mountainous forested area in eastern Norway known for its large ski resort and outdoor recreation opportunities.
  • B. Røros region
    The Røros region is a historic mining area in central Norway known for its well-preserved wooden townscape and UNESCO-listed cultural heritage.
  • C. Kongsberg–Modum area chosen
    The Kongsberg–Modum area is a historically significant mining district in southeastern Norway known for its rich silver deposits and long tradition of metal extraction.
  • D. Lyngen region
    The Lyngen region is a scenic area in Troms, northern Norway, known for its dramatic fjords, alpine peaks, and popular outdoor activities like skiing and hiking.
  • E. Dovre region
    The Dovre region is a mountainous area in central Norway known for its rugged landscapes, national parks, and rich wildlife, including wild reindeer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8e8f57081909edbbcaf56189816 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.