Triple

T23130970
Position Surface form Disambiguated ID Type / Status
Subject Holtålen E577166 entity
Predicate hasSettlement P1068 FINISHED
Object Haltdalen 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: Haltdalen | Statement: [Holtålen, hasSettlement, Haltdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haltdalen
Context triple: [Holtålen, hasSettlement, Haltdalen]
  • A. Haltdalen chosen
    Haltdalen is a village in central Norway known for its traditional stave church and scenic location in the Gaula river valley.
  • B. Hattfjelldal
    Hattfjelldal is a sparsely populated municipality in Nordland county, Norway, known for its mountainous terrain, extensive wilderness areas, and strong Sami cultural heritage.
  • C. Leirdalen
    Leirdalen is a scenic glacial valley in Jotunheimen, Norway, known for its dramatic mountain landscapes and popular hiking routes.
  • D. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • E. Bangdalen
    Bangdalen is a small rural settlement located within Namsos municipality in Trøndelag county, Norway.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e87cd188190b466f7a4c9670e56 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.