Triple

T6306805
Position Surface form Disambiguated ID Type / Status
Subject Cockermouth E141395 entity
Predicate sufferedEvent P15089 FINISHED
Object 2015 Cumbria floods
The 2015 Cumbria floods were a series of severe flooding events in Cumbria, England, caused by extreme rainfall from Storm Desmond that led to widespread damage to homes, infrastructure, and communities.
E585839 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: 2015 Cumbria floods | Statement: [Cockermouth, sufferedEvent, 2015 Cumbria floods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2015 Cumbria floods
Context triple: [Cockermouth, sufferedEvent, 2015 Cumbria floods]
  • A. 2009 Cumbria floods
    The 2009 Cumbria floods were a severe flooding disaster in northwest England that caused widespread damage, infrastructure collapse, and the evacuation of thousands of residents across towns including Cockermouth and Workington.
  • B. Great Sheffield Flood of 1864
    The Great Sheffield Flood of 1864 was a catastrophic dam failure in Sheffield, England, that unleashed a devastating torrent of water, killing over 200 people and causing widespread destruction along local rivers and valleys.
  • C. 2016 European floods
    The 2016 European floods were a series of severe late-spring flooding events that affected multiple countries across Central Europe, causing significant damage, casualties, and widespread disruption.
  • D. 2002 European floods
    The 2002 European floods were a series of catastrophic flooding events across Central Europe, particularly devastating parts of Germany, Austria, and the Czech Republic, and causing widespread damage and loss of life.
  • E. The Great Flood of 1852
    The Great Flood of 1852 was a catastrophic inundation of the Murrumbidgee River that devastated the Australian town of Gundagai, causing extensive loss of life and prompting the town’s relocation to higher ground.
  • 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: 2015 Cumbria floods
Triple: [Cockermouth, sufferedEvent, 2015 Cumbria floods]
Generated description
The 2015 Cumbria floods were a series of severe flooding events in Cumbria, England, caused by extreme rainfall from Storm Desmond that led to widespread damage to homes, infrastructure, and communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 2015 Cumbria floods
Target entity description: The 2015 Cumbria floods were a series of severe flooding events in Cumbria, England, caused by extreme rainfall from Storm Desmond that led to widespread damage to homes, infrastructure, and communities.
  • A. 2009 Cumbria floods
    The 2009 Cumbria floods were a severe flooding disaster in northwest England that caused widespread damage, infrastructure collapse, and the evacuation of thousands of residents across towns including Cockermouth and Workington.
  • B. Great Sheffield Flood of 1864
    The Great Sheffield Flood of 1864 was a catastrophic dam failure in Sheffield, England, that unleashed a devastating torrent of water, killing over 200 people and causing widespread destruction along local rivers and valleys.
  • C. 2016 European floods
    The 2016 European floods were a series of severe late-spring flooding events that affected multiple countries across Central Europe, causing significant damage, casualties, and widespread disruption.
  • D. 2002 European floods
    The 2002 European floods were a series of catastrophic flooding events across Central Europe, particularly devastating parts of Germany, Austria, and the Czech Republic, and causing widespread damage and loss of life.
  • E. The Great Flood of 1852
    The Great Flood of 1852 was a catastrophic inundation of the Murrumbidgee River that devastated the Australian town of Gundagai, causing extensive loss of life and prompting the town’s relocation to higher ground.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647b69f08190bb085f9b700f6453 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603feee388190921239cda3772210 completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c6056435b481908a63a880b7bcd489 completed March 27, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_69c605f2369c819080fd52282b20437e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:28 p.m.