Triple

T5370486
Position Surface form Disambiguated ID Type / Status
Subject Østerdalen E108835 entity
Predicate mainTown P13187 FINISHED
Object Elverum E121198 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: Elverum | Statement: [Østerdalen, mainTown, Elverum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elverum
Context triple: [Østerdalen, mainTown, Elverum]
  • A. Elverum chosen
    Elverum is a town and municipality in Innlandet county in eastern Norway, known for its forestry, military camp, and role in Norwegian World War II history.
  • B. Sarpsborg
    Sarpsborg is a historic city and municipality in Viken county, Norway, known as one of the country’s oldest towns and an important industrial and administrative center in the Østfold region.
  • C. Hønefoss
    Hønefoss is a Norwegian town known as a regional commercial and transport hub, situated along the Begna River northwest of Oslo.
  • D. Larvik
    Larvik is a coastal town and municipality in Vestfold, Norway, known for its harbor, beaches, and historic connections to the shipping and timber industries.
  • E. Raufoss
    Raufoss is an industrial town in Norway known for its manufacturing sector, particularly in defense and automotive components.
  • 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_69bfea92b36081909aa6e33b8b572f90 completed March 22, 2026, 1:11 p.m.
Created at: March 20, 2026, 2:02 p.m.