Triple

T11618108
Position Surface form Disambiguated ID Type / Status
Subject Boxing Day floods 2015 E275560 entity
Predicate affectedArea P1586 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: [Boxing Day floods 2015, affectedArea, Cumbria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumbria
Context triple: [Boxing Day floods 2015, affectedArea, 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:38 p.m.