Triple

T2346551
Position Surface form Disambiguated ID Type / Status
Subject Sweden–Norway union E45143 entity
Predicate currency P245 FINISHED
Object speciedaler (Norway) E92849 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: speciedaler (Norway) | Statement: [Sweden–Norway union, currency, speciedaler (Norway)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: speciedaler (Norway)
Context triple: [Sweden–Norway union, currency, speciedaler (Norway)]
  • A. Norwegian speciedaler chosen
    The Norwegian speciedaler was a historical silver-based currency used in Norway before the introduction of the Norwegian krone in the late 19th century.
  • B. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • C. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • D. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • E. Sørenga terminal
    Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c9396081908abb2b0a229bb046 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9629f4908190ba3c51b7d12be4e4 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:52 p.m.