Triple

T1619731
Position Surface form Disambiguated ID Type / Status
Subject Northumbria E35002 entity
Predicate formedByUnionOf P402 FINISHED
Object Bernicia
Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
 E185543 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: Bernicia | Statement: [Northumbria, formedByUnionOf, Bernicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernicia
Context triple: [Northumbria, formedByUnionOf, Bernicia]
  • A. Norcasia
    Norcasia is a small municipality in the Colombian Andes known for its lush natural landscapes and proximity to hydroelectric and ecotourism sites.
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Alba
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • D. Armorica
    Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
  • E. Niçard
    Niçard is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • 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: Bernicia
Triple: [Northumbria, formedByUnionOf, Bernicia]
Generated description
Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bernicia
Target entity description: Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
  • A. Norcasia
    Norcasia is a small municipality in the Colombian Andes known for its lush natural landscapes and proximity to hydroelectric and ecotourism sites.
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Alba
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • D. Armorica
    Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
  • E. Niçard
    Niçard is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909aef1b881909ef90dbc833a82a3 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60903f94819095dc90d6ce959017 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad6148d5ac819096ee1a3e97331ed2 completed March 8, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_69ad62028a448190a0c3f0dadae6a741 completed March 8, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:28 p.m.