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 NE NERFINISHED

How this triple was built (3 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.
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 (2 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.
Created at: April 16, 2026, 6:31 p.m.