Triple

T7758714
Position Surface form Disambiguated ID Type / Status
Subject Danmarks Nationalbank E175962 entity
Predicate currencyCode P208 FINISHED
Object DKK E33163 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: DKK | Statement: [Danmarks Nationalbank, currencyCode, DKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DKK
Context triple: [Danmarks Nationalbank, currencyCode, DKK]
  • A. Danish krone chosen
    The Danish krone is the official currency of Denmark, known for its stable value and close peg to the euro.
  • B. Danish rigsdaler
    The Danish rigsdaler was Denmark’s former currency used until the 19th century, when it was superseded by the Danish krone.
  • C. Danish Crown
    Danish Crown was the historical monarchy of Denmark, which ruled over Danish territories and overseas possessions, including colonial forts such as Fort Kongenstein.
  • D. Norwegian krone
    The Norwegian krone is the official monetary unit of Norway, issued by Norges Bank and commonly traded under the currency code NOK.
  • E. Swedish krona
    The Swedish krona is the official currency of Sweden, used for everyday transactions and major national and international payments.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c06f54819096162e84180918ba completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:09 p.m.