Triple

T15889870
Position Surface form Disambiguated ID Type / Status
Subject Bardufoss Airport E385287 entity
Predicate hasCityServed P3936 FINISHED
Object Målselv 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: Målselv | Statement: [Bardufoss Airport, hasCityServed, Målselv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Målselv
Context triple: [Bardufoss Airport, hasCityServed, Målselv]
  • A. Målselv chosen
    Målselv is a municipality in Troms og Finnmark county in northern Norway, known for its river, military installations, and proximity to major natural attractions.
  • B. Vennesla
    Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
  • C. Mjøsund
    Mjøsund is a small coastal settlement in northern Norway, situated on or near the island of Andørja and known for its scenic fjord landscape and maritime setting.
  • D. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • E. Fetsund
    Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561d5c28819094c3541d917a4433 completed April 16, 2026, 9:35 p.m.
Created at: April 10, 2026, 4:51 a.m.