Triple

T21584888
Position Surface form Disambiguated ID Type / Status
Subject Miami Conservancy District E532621 entity
Predicate createdInResponseTo P17295 FINISHED
Object Great Dayton Flood of 1913
The Great Dayton Flood of 1913 was a catastrophic inundation of Dayton, Ohio, and surrounding areas that killed hundreds, caused massive destruction, and spurred major flood-control reforms.
E1491933 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: Great Dayton Flood of 1913 | Statement: [Miami Conservancy District, createdInResponseTo, Great Dayton Flood of 1913]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Dayton Flood of 1913
Context triple: [Miami Conservancy District, createdInResponseTo, Great Dayton Flood of 1913]
  • A. Great Sioux City Flood of 1892
    The Great Sioux City Flood of 1892 was a devastating late-19th-century flood that inundated Sioux City, Iowa, causing widespread destruction and loss of life along the Missouri River.
  • B. Great Flood of 1879
    The Great Flood of 1879 was a catastrophic inundation of the city of Szeged in Hungary that destroyed most of the town and prompted a major reconstruction.
  • C. 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.
  • D. Great Mississippi Flood of 1927
    The Great Mississippi Flood of 1927 was one of the most destructive river floods in U.S. history, inundating vast areas along the Mississippi River, displacing hundreds of thousands of people, and reshaping American flood control policy and race relations in the South.
  • E. Hartford Flood of 1936
    The Hartford Flood of 1936 was a devastating spring flood that inundated Hartford, Connecticut and surrounding areas, causing widespread damage and prompting major flood-control improvements along the city’s rivers.
  • 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: Great Dayton Flood of 1913
Triple: [Miami Conservancy District, createdInResponseTo, Great Dayton Flood of 1913]
Generated description
The Great Dayton Flood of 1913 was a catastrophic inundation of Dayton, Ohio, and surrounding areas that killed hundreds, caused massive destruction, and spurred major flood-control reforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Great Dayton Flood of 1913
Target entity description: The Great Dayton Flood of 1913 was a catastrophic inundation of Dayton, Ohio, and surrounding areas that killed hundreds, caused massive destruction, and spurred major flood-control reforms.
  • A. Great Sioux City Flood of 1892
    The Great Sioux City Flood of 1892 was a devastating late-19th-century flood that inundated Sioux City, Iowa, causing widespread destruction and loss of life along the Missouri River.
  • B. Great Flood of 1879
    The Great Flood of 1879 was a catastrophic inundation of the city of Szeged in Hungary that destroyed most of the town and prompted a major reconstruction.
  • C. 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.
  • D. Great Mississippi Flood of 1927
    The Great Mississippi Flood of 1927 was one of the most destructive river floods in U.S. history, inundating vast areas along the Mississippi River, displacing hundreds of thousands of people, and reshaping American flood control policy and race relations in the South.
  • E. Hartford Flood of 1936
    The Hartford Flood of 1936 was a devastating spring flood that inundated Hartford, Connecticut and surrounding areas, causing widespread damage and prompting major flood-control improvements along the city’s rivers.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f67cc2288190886c4124c97edb67 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f9614ab88190806a3ed38b7ba537 completed May 17, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_6a09fa3c92a8819082e454d907971b21 completed May 17, 2026, 5:26 p.m.
Created at: April 16, 2026, 6:31 p.m.