Triple

T4174843
Position Surface form Disambiguated ID Type / Status
Subject Reisa National Park E86450 entity
Predicate culturalRegion P1968 FINISHED
Object Sápmi E372271 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: Sápmi | Statement: [Reisa National Park, culturalRegion, Sápmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sápmi
Context triple: [Reisa National Park, culturalRegion, Sápmi]
  • A. Sápmi chosen
    Sápmi is the traditional homeland of the Sámi people, spanning northern parts of Norway, Sweden, Finland, and Russia’s Kola Peninsula.
  • B. Lapland
    Lapland is a sparsely populated Arctic region in northern Finland known for its subarctic wilderness, indigenous Sámi culture, and reputation as the home of Santa Claus.
  • C. Fennoscandia
    Fennoscandia is a geological and geographical region in northern Europe that encompasses the Scandinavian and Kola peninsulas, Finland, and parts of northwestern Russia.
  • D. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • E. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f564c9c8190bfc321c8ec2dac14 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.