Triple

T7320357
Position Surface form Disambiguated ID Type / Status
Subject Aira Beck E168526 entity
Predicate county P75 FINISHED
Object Cumbria E14179 NE FINISHED

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: Cumbria | Statement: [Aira Beck, county, Cumbria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumbria
Context triple: [Aira Beck, county, 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
    Westmorland is a small city in Southern California’s Imperial Valley, known for its agricultural surroundings and proximity to the Salton Sea.
  • C. Northumberland
    Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
  • D. Northumberland
    Northumberland is a small rural town in Saratoga County, New York, known for its agricultural character and proximity to the Hudson River.
  • E. Westmorland and Furness
    Westmorland and Furness is a unitary authority area in Cumbria, England, formed in 2023 as part of local government reorganization.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa78d8e08190a5658f2df7fbf667 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:02 p.m.