Triple

T786348
Position Surface form Disambiguated ID Type / Status
Subject Norwegian krone E16810 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: [Norwegian krone, localName, norsk krone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: norsk krone
Context triple: [Norwegian krone, 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. Danish krone
    The Danish krone is the official currency of Denmark, known for its stable value and close peg to the euro.
  • C. 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.
  • D. Swedish krona
    The Swedish krona is the official currency of Sweden, used for everyday transactions and major national and international payments.
  • E. Finnish markka
    The Finnish markka was the national currency of Finland until it was replaced by the euro in 2002.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733e47148190bad0ac71cf45dd85 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:38 p.m.