Triple

T17880225
Position Surface form Disambiguated ID Type / Status
Subject Danish E447062 entity
Predicate hasDialects P4251 FINISHED
Object Jutlandic Danish 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: Jutlandic Danish | Statement: [Danish, hasDialects, Jutlandic Danish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jutlandic Danish
Context triple: [Danish, hasDialects, Jutlandic Danish]
  • A. 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.
  • B. Jutlandic dialect area chosen
    The Jutlandic dialect area is a linguistic region in Denmark where distinctive Jutlandic varieties of the Danish language are traditionally spoken.
  • 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. 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.
  • E. Fulfulde
    Fulfulde is a widely spoken West African language of the Fulani people, used as a lingua franca across parts of the Sahel including northern Nigeria.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c0e56bc819097649377b520de63 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.