Triple

T5370499
Position Surface form Disambiguated ID Type / Status
Subject Østerdalen E108835 entity
Predicate borders P224 FINISHED
Object Røros region E17971 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: Røros region | Statement: [Østerdalen, borders, Røros region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Røros region
Context triple: [Østerdalen, borders, Røros region]
  • A. Nord-Valdres
    Nord-Valdres is the northern part of the traditional Valdres district in Innlandet county, Norway, known for its mountainous landscapes, valleys, and rural communities.
  • B. 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.
  • C. Lillehammer region
    The Lillehammer region is an area in southeastern Norway known for its winter sports facilities, scenic landscapes, and role as host of the 1994 Winter Olympics.
  • D. Hardap Region
    Hardap Region is a largely arid administrative region in central Namibia known for the Hardap Dam near Mariental and its significant role in the country’s agriculture and livestock farming.
  • E. Trøndelag chosen
    Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd8688b7488190a57baedd52a11b1a completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfcb96c56c8190908d5aacd5afc88e completed March 22, 2026, 10:59 a.m.
Created at: March 20, 2026, 2:02 p.m.