Triple

T748211
Position Surface form Disambiguated ID Type / Status
Subject Greenland E15389 entity
Predicate currency P245 FINISHED
Object Danish 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: Danish krone | Statement: [Greenland, currency, Danish krone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish krone
Context triple: [Greenland, currency, Danish 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. Norwegian krone
    The Norwegian krone is the official monetary unit of Norway, issued by Norges Bank and commonly traded under the currency code NOK.
  • C. Swedish krona
    The Swedish krona is the official currency of Sweden, used for everyday transactions and major national and international payments.
  • D. Icelandic króna
    The Icelandic króna is the official national currency of Iceland, used for all domestic financial transactions and issued by the Central Bank of Iceland.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62f31888190b80cb0a7220f8d80 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e664e4819081badaf0ba0d86e5 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.