Triple
T11486890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellicott City |
E272302
|
entity |
| Predicate | hasNotableEvent |
P259
|
FINISHED |
| Object |
2018 Ellicott City flood
The 2018 Ellicott City flood was a catastrophic flash flooding event in Ellicott City, Maryland, that caused severe damage to the historic downtown area and followed a similarly devastating flood there in 2016.
|
E929671
|
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: 2018 Ellicott City flood | Statement: [Ellicott City, hasNotableEvent, 2018 Ellicott City flood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2018 Ellicott City flood Context triple: [Ellicott City, hasNotableEvent, 2018 Ellicott City flood]
-
A.
2016 Ellicott City flood
The 2016 Ellicott City flood was a devastating flash flood in Ellicott City, Maryland, caused by torrential rainfall that led to severe damage to the historic downtown area and multiple fatalities.
-
B.
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.
-
C.
Great Johnstown Flood of 1889
The Great Johnstown Flood of 1889 was a catastrophic dam failure–induced deluge that devastated Johnstown, Pennsylvania, killing more than 2,200 people and becoming one of the deadliest and most infamous disasters in U.S. history.
-
D.
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.
-
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: 2018 Ellicott City flood Triple: [Ellicott City, hasNotableEvent, 2018 Ellicott City flood]
Generated description
The 2018 Ellicott City flood was a catastrophic flash flooding event in Ellicott City, Maryland, that caused severe damage to the historic downtown area and followed a similarly devastating flood there in 2016.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2018 Ellicott City flood Target entity description: The 2018 Ellicott City flood was a catastrophic flash flooding event in Ellicott City, Maryland, that caused severe damage to the historic downtown area and followed a similarly devastating flood there in 2016.
-
A.
2016 Ellicott City flood
The 2016 Ellicott City flood was a devastating flash flood in Ellicott City, Maryland, caused by torrential rainfall that led to severe damage to the historic downtown area and multiple fatalities.
-
B.
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.
-
C.
Great Johnstown Flood of 1889
The Great Johnstown Flood of 1889 was a catastrophic dam failure–induced deluge that devastated Johnstown, Pennsylvania, killing more than 2,200 people and becoming one of the deadliest and most infamous disasters in U.S. history.
-
D.
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.
-
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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1fc9688190aacc2eed64229b79 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624b12c04819085cc5f7dd64283ca |
completed | April 20, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.