Triple

T15550535
Position Surface form Disambiguated ID Type / Status
Subject Hedmarken E370730 entity
Predicate borders P224 FINISHED
Object Østerdalen E108835 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: Østerdalen | Statement: [Hedmarken, borders, Østerdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østerdalen
Context triple: [Hedmarken, borders, Østerdalen]
  • A. Østerdalen chosen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • B. Jostedalen
    Jostedalen is a valley and former municipality in western Norway, known for its dramatic glacial landscapes and proximity to the Jostedalsbreen glacier.
  • C. Måbødalen
    Måbødalen is a dramatic river valley and gorge in western Norway, renowned for its steep cliffs, winding road, and proximity to major waterfalls and fjord landscapes.
  • D. Nydalen
    Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
  • E. Tromsdalen
    Tromsdalen is a residential valley and neighborhood area in Tromsø, Norway, known for its scenic setting across from Tromsøya island and landmarks like the Arctic Cathedral.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b205dc81908c4194a931d94074 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 4:08 a.m.