Triple

T153476
Position Surface form Disambiguated ID Type / Status
Subject Fritt Ord Award E3480 entity
Predicate currency P245 FINISHED
Object Norwegian krone E16810 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: Norwegian krone | Statement: [Fritt Ord Award, currency, Norwegian krone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian krone
Context triple: [Fritt Ord Award, currency, Norwegian krone]
  • A. Norwegian krone chosen
    The Norwegian krone is the official monetary unit of Norway, issued by Norges Bank and commonly traded under the currency code NOK.
  • B. Swedish krona
    The Swedish krona is the official currency of Sweden, used for everyday transactions and major national and international payments.
  • C. Swiss franc
    The Swiss franc is the official currency of Switzerland and Liechtenstein, known for its stability and status as a major global reserve currency.
  • D. Dutch guilder
    The Dutch guilder was the former national currency of the Netherlands, used for centuries until it was replaced by the euro in 2002.
  • E. Norway
    Norway is a Nordic country in Northern Europe known for its high standard of living, extensive welfare state, and dramatic natural landscapes of fjords, mountains, and coastline.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25810799c8190a515a39169126e46 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c93d3cb08190a475da4716d9e3cb completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.