Triple

T17611611
Position Surface form Disambiguated ID Type / Status
Subject Christianization of Germanic peoples E428977 entity
Predicate appliesToEthnicGroup P10927 FINISHED
Object Danes 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: Danes | Statement: [Christianization of Germanic peoples, appliesToEthnicGroup, Danes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danes
Context triple: [Christianization of Germanic peoples, appliesToEthnicGroup, Danes]
  • A. Danes chosen
    The Danes are a North Germanic people historically associated with the kingdom of Denmark, known for their Viking heritage and later development of a modern Scandinavian nation.
  • B. Svear
    Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
  • C. Dania
    Dania was the original name of the South Florida city now known as Dania Beach, historically recognized as one of the region’s earliest incorporated communities.
  • D. Svea
    Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • E. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2dfa688190a0b9b396bb6133cc completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.