Triple

T3882174
Position Surface form Disambiguated ID Type / Status
Subject NOK E92848 entity
Predicate localName P657 FINISHED
Object norsk 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: norsk krone | Statement: [NOK, localName, norsk krone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: norsk krone
Context triple: [NOK, localName, norsk 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–Norwegian krone
    The Swedish–Norwegian krone was the common gold-based currency used by the united kingdoms of Sweden and Norway in the late 19th and early 20th centuries.
  • C. Danish krone
    The Danish krone is the official currency of Denmark, known for its stable value and close peg to the euro.
  • D. riksdaler
    The riksdaler was Sweden’s former national currency used for several centuries before being replaced by the Swedish krona in the late 19th century.
  • E. Danish rigsdaler
    The Danish rigsdaler was Denmark’s former currency used until the 19th century, when it was superseded by the Danish krone.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8983b88190a716987f44487d56 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:20 p.m.