Triple

T19106549
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Carlisle E467670 entity
Predicate associatedWith P37 FINISHED
Object County of Cumbria 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: County of Cumbria | Statement: [Bishop of Carlisle, associatedWith, County of Cumbria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Cumbria
Context triple: [Bishop of Carlisle, associatedWith, County of Cumbria]
  • A. Cumbria chosen
    Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
  • B. Westmorland County
    Westmorland County is a county in southeastern New Brunswick, Canada, known for including coastal communities such as Shediac and parts of the Greater Moncton area.
  • C. Westmorland, England
    Westmorland, England is a historic county in northwestern England known for its rural landscapes and parts of the Lake District.
  • D. Northumberland
    Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
  • E. Northumberland
    Northumberland is a small rural town in Saratoga County, New York, known for its agricultural character and proximity to the Hudson River.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e37159688190a6896d9730214ba8 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.