Triple

T1554259
Position Surface form Disambiguated ID Type / Status
Subject Danish krone E33163 entity
Predicate issuer P29 FINISHED
Object Danmarks Nationalbank E175962 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: Danmarks Nationalbank | Statement: [Danish krone, issuer, Danmarks Nationalbank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danmarks Nationalbank
Context triple: [Danish krone, issuer, Danmarks Nationalbank]
  • A. Danmarks Nationalbank chosen
    Danmarks Nationalbank is Denmark’s central bank, responsible for issuing currency, maintaining monetary and financial stability, and managing the country’s foreign exchange reserves.
  • B. Norges Bank
    Norges Bank is Norway’s central bank, responsible for conducting monetary policy, issuing currency, and maintaining financial stability in the country.
  • C. Sveriges Riksbank
    Sveriges Riksbank is Sweden’s central bank, notable for funding and establishing the Nobel Memorial Prize in Economic Sciences.
  • D. Danish Bankers Association
    The Danish Bankers Association is a key industry organization representing and advocating for the interests of banks and financial institutions operating in Denmark.
  • E. Danske Bank
    Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
  • 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_69ad401b98888190ad48fbfb6e075434 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:27 p.m.