Triple

T22297087
Position Surface form Disambiguated ID Type / Status
Subject Johannes E551148 entity
Predicate hasLanguageOfUse P207 FINISHED
Object Danish language NE NERFINISHED

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 language | Statement: [Johannes, hasLanguageOfUse, Danish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish language
Context triple: [Johannes, hasLanguageOfUse, Danish language]
  • A. Danish language chosen
    Danish is a North Germanic language spoken primarily in Denmark and parts of Greenland and the Faroe Islands, closely related to Norwegian and Swedish.
  • B. DANSKE
    DANSKE is the stock ticker symbol for Danske Bank, a major Nordic financial services group headquartered in Denmark.
  • C. Danish Sign Language
    Danish Sign Language is the primary sign language used by the Deaf community in Denmark, belonging to the Danish Sign Language family and historically related to other Nordic sign languages.
  • D. Norwegian language
    Norwegian is a North Germanic language spoken primarily in Norway, closely related to Danish and Swedish and featuring two official written standards, Bokmål and Nynorsk.
  • E. Riksmål
    Riksmål is a traditional, conservative written standard of Norwegian closely aligned with Danish and used primarily by language purists and certain cultural institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15720fba0819080f6c96f6df4f1e0 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.