Triple

T21298709
Position Surface form Disambiguated ID Type / Status
Subject Ørskog E524996 entity
Predicate traditionalDistrict P49478 FINISHED
Object Sunnmøre 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: Sunnmøre | Statement: [Ørskog, traditionalDistrict, Sunnmøre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunnmøre
Context triple: [Ørskog, traditionalDistrict, Sunnmøre]
  • A. Sunnmøre chosen
    Sunnmøre is a coastal district in western Norway known for its dramatic fjords, islands, and the fishing and maritime industries centered around towns like Ålesund.
  • B. Nordmøre
    Nordmøre is a traditional district in the northern part of Møre og Romsdal county in western Norway, known for its coastal landscapes, fjords, and fishing communities.
  • C. Romsdal
    Romsdal is a traditional district in Møre og Romsdal county in western Norway, known for its dramatic fjords, mountains, and the town of Molde.
  • D. Sør-Fron
    Sør-Fron is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and proximity to major national parks.
  • E. Hattfjelldal
    Hattfjelldal is a sparsely populated municipality in Nordland county, Norway, known for its mountainous terrain, extensive wilderness areas, and strong Sami cultural heritage.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385a24d08190bfd410c7f10fa6f7 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.