Triple

T18448315
Position Surface form Disambiguated ID Type / Status
Subject Geilo ski resort E450713 entity
Predicate locatedIn P40 FINISHED
Object Hallingskarvet region E1346979 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: Hallingskarvet region | Statement: [Geilo ski resort, locatedIn, Hallingskarvet region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallingskarvet region
Context triple: [Geilo ski resort, locatedIn, Hallingskarvet region]
  • A. Hallingskarvet region chosen
    The Hallingskarvet region is a mountainous area in central southern Norway known for its dramatic plateau, national park, and popular skiing and hiking terrain.
  • B. 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.
  • C. Breheimen region
    The Breheimen region is a mountainous area in western Norway known for its rugged peaks, glaciers, and inclusion in the Breheimen National Park.
  • D. Härjedalen
    Härjedalen is a sparsely populated historical province in central Sweden known for its mountainous landscapes, wilderness areas, and outdoor recreation.
  • E. Femundsmarka region
    The Femundsmarka region is a remote wilderness area in eastern Norway known for its large lakes, pine forests, and popular opportunities for hiking, canoeing, and fishing.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52645cb88819086b0e70b6613edcd completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0700c58c008190be11ddd0c0d13595 completed May 15, 2026, 11:17 a.m.
Created at: April 10, 2026, 11:30 a.m.