Triple

T12416620
Position Surface form Disambiguated ID Type / Status
Subject King of the Danes E296652 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Danes
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.
E981223 NE FINISHED

How this triple was built (4 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: [King of the Danes, appliesToJurisdiction, Danes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danes
Context triple: [King of the Danes, appliesToJurisdiction, Danes]
  • A. Svear
    Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
  • B. 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.
  • C. 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.
  • D. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • E. Vikes
    Vikes is the nickname and athletic brand for the University of Victoria’s varsity sports teams in Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Danes
Triple: [King of the Danes, appliesToJurisdiction, Danes]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danes
Target entity description: 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.
  • A. Svear
    Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
  • B. 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.
  • C. 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.
  • D. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • E. Vikes
    Vikes is the nickname and athletic brand for the University of Victoria’s varsity sports teams in Canada.
  • F. None of above. chosen

Provenance (5 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6de5808190b2116b0b491c40b5 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634915940819092665f1f35aa823d completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d9e13881908d3d08c6cf954304 completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.