Triple

T870759
Position Surface form Disambiguated ID Type / Status
Subject Danske Bank E18805 entity
Predicate shortName P43 FINISHED
Object Danske E102259 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: Danske | Statement: [Danske Bank, shortName, Danske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danske
Context triple: [Danske Bank, shortName, Danske]
  • A. DANSKE chosen
    DANSKE is the stock ticker symbol for Danske Bank, a major Nordic financial services group headquartered in Denmark.
  • B. Danish language
    Danish is a North Germanic language spoken primarily in Denmark and parts of Greenland and the Faroe Islands, closely related to Norwegian and Swedish.
  • C. Riksmål
    Riksmål is a traditional, conservative written standard of Norwegian closely aligned with Danish and used primarily by language purists and certain cultural institutions.
  • D. Norwegians
    Norwegians are a North Germanic ethnic group native to Norway, known for their Viking heritage, seafaring traditions, and strong social welfare society.
  • E. Nordic
    Nordic refers to the cultural and geographic region encompassing countries such as Norway, Sweden, Denmark, Finland, and Iceland, known for shared historical, linguistic, and social traditions.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac94d5ac81909feee876696da589 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84dcf748190b20372fdc48d6766 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.