Triple

T1554248
Position Surface form Disambiguated ID Type / Status
Subject Danish krone E33163 entity
Predicate localName P657 FINISHED
Object dansk krone 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: dansk krone | Statement: [Danish krone, localName, dansk krone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: dansk krone
Context triple: [Danish krone, localName, dansk krone]
  • 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    The Danish rigsdaler was Denmark’s former currency used until the 19th century, when it was superseded by the Danish krone.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. Norwegian krone
    The Norwegian krone is the official monetary unit of Norway, issued by Norges Bank and commonly traded under the currency code NOK.
  • D. Swedish krona
    The Swedish krona is the official currency of Sweden, used for everyday transactions and major national and international payments.
  • E. 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.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9086dec008190b5fcf0f2256a581d completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad370b9b4c819087d04abead99e81e completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:27 p.m.