Triple
T4622714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican River |
E101022
|
entity |
| Predicate | notableFloodEvent |
P39409
|
FINISHED |
| Object |
Republican River flood of 1935
The Republican River flood of 1935 was a catastrophic Great Plains flood that devastated parts of Nebraska, Kansas, and Colorado, causing extensive destruction and significant loss of life.
|
E456943
|
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: Republican River flood of 1935 | Statement: [Republican River, notableFloodEvent, Republican River flood of 1935]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Republican River flood of 1935 Context triple: [Republican River, notableFloodEvent, Republican River flood of 1935]
-
A.
1997 Red River flood
The 1997 Red River flood was a catastrophic spring flood along the Red River of the North that devastated communities in North Dakota, Minnesota, and Manitoba, causing widespread evacuations and extensive property damage.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Missoula floods
The Missoula floods were a series of cataclysmic Ice Age glacial outburst floods that repeatedly swept across the Pacific Northwest, dramatically reshaping the landscape of what is now Washington, Oregon, Idaho, and Montana.
- 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: Republican River flood of 1935 Triple: [Republican River, notableFloodEvent, Republican River flood of 1935]
Generated description
The Republican River flood of 1935 was a catastrophic Great Plains flood that devastated parts of Nebraska, Kansas, and Colorado, causing extensive destruction and significant loss of life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Republican River flood of 1935 Target entity description: The Republican River flood of 1935 was a catastrophic Great Plains flood that devastated parts of Nebraska, Kansas, and Colorado, causing extensive destruction and significant loss of life.
-
A.
1997 Red River flood
The 1997 Red River flood was a catastrophic spring flood along the Red River of the North that devastated communities in North Dakota, Minnesota, and Manitoba, causing widespread evacuations and extensive property damage.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Missoula floods
The Missoula floods were a series of cataclysmic Ice Age glacial outburst floods that repeatedly swept across the Pacific Northwest, dramatically reshaping the landscape of what is now Washington, Oregon, Idaho, and Montana.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a053d38819097b3ecbc06aa6e4d |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaa069388190b6482315708b85c2 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb9422e48190819d5d99e72e8854 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc6ac91c819090776365d3dc05d4 |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:12 p.m.