Triple
T6306804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockermouth |
E141395
|
entity |
| Predicate | sufferedEvent |
P15089
|
FINISHED |
| Object |
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.
|
E585232
|
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: 2009 Cumbria floods | Statement: [Cockermouth, sufferedEvent, 2009 Cumbria floods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2009 Cumbria floods Context triple: [Cockermouth, sufferedEvent, 2009 Cumbria floods]
-
A.
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.
-
B.
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.
-
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.
2003 Dead River flood
The 2003 Dead River flood was a major dam-failure-induced flooding event in Michigan’s Upper Peninsula that caused significant damage in and around the city of Marquette.
-
E.
2008 Kosi flood
The 2008 Kosi flood was a catastrophic river flood in northern India and Nepal that displaced millions of people and caused widespread destruction when the Kosi River dramatically changed its course.
- 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: 2009 Cumbria floods Triple: [Cockermouth, sufferedEvent, 2009 Cumbria floods]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2009 Cumbria floods Target entity description: 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.
-
A.
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.
-
B.
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.
-
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.
2003 Dead River flood
The 2003 Dead River flood was a major dam-failure-induced flooding event in Michigan’s Upper Peninsula that caused significant damage in and around the city of Marquette.
-
E.
2008 Kosi flood
The 2008 Kosi flood was a catastrophic river flood in northern India and Nepal that displaced millions of people and caused widespread destruction when the Kosi River dramatically changed its course.
- 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_69c5e44c11f48190a8c3c36172cd8da0 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5edd0f9348190a17d00f402e2cdad |
completed | March 27, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee31ea6881908e30911ccf447400 |
completed | March 27, 2026, 2:40 a.m. |
Created at: March 22, 2026, 4:28 p.m.