Triple
T9962269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnstown, Pennsylvania |
E195596
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
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.
|
E831977
|
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 Johnstown Flood of 1889 | Statement: [Johnstown, Pennsylvania, knownFor, Great Johnstown Flood of 1889]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Johnstown Flood of 1889 Context triple: [Johnstown, Pennsylvania, knownFor, Great Johnstown Flood of 1889]
-
A.
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.
-
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.
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.
-
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.
1967 Fairbanks flood
The 1967 Fairbanks flood was a devastating inundation of Fairbanks, Alaska, that caused widespread damage and led to major changes in the region’s flood control and urban planning.
- 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 Johnstown Flood of 1889 Triple: [Johnstown, Pennsylvania, knownFor, Great Johnstown Flood of 1889]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Great Johnstown Flood of 1889 Target entity description: 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.
-
A.
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.
-
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.
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.
-
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.
1967 Fairbanks flood
The 1967 Fairbanks flood was a devastating inundation of Fairbanks, Alaska, that caused widespread damage and led to major changes in the region’s flood control and urban planning.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d37f0c8190946b958c399f3250 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d904bbc8190ac0b28600ed2e709 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23fa1e3288190b755b3966178ad52 |
completed | April 5, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24077720c81909a43ff56627095a1 |
completed | April 5, 2026, 10:59 a.m. |
Created at: March 30, 2026, 8:47 p.m.