Triple
T2121306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm Surge Unit |
E43927
|
entity |
| Predicate | usesModel |
P2006
|
FINISHED |
| Object |
Sea, Lake, and Overland Surges from Hurricanes model
The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is a computer simulation tool developed by the U.S. National Weather Service to estimate storm surge heights and inundation from tropical cyclones for coastal emergency planning and forecasting.
|
E237737
|
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: Sea, Lake, and Overland Surges from Hurricanes model | Statement: [Storm Surge Unit, usesModel, Sea, Lake, and Overland Surges from Hurricanes model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea, Lake, and Overland Surges from Hurricanes model Context triple: [Storm Surge Unit, usesModel, Sea, Lake, and Overland Surges from Hurricanes model]
-
A.
Storm Surge Unit
The Storm Surge Unit is a specialized division of the National Hurricane Center that analyzes and forecasts coastal flooding risks associated with tropical cyclones and other storm events.
-
B.
Atlantic coastal defenses of Puerto Rico
The Atlantic coastal defenses of Puerto Rico comprise the historic fortifications, walls, and military structures built primarily by the Spanish Empire to protect the island’s northern coastline and the strategic port of San Juan from seaborne attacks.
-
C.
Saffir–Simpson Hurricane Wind Scale
The Saffir–Simpson Hurricane Wind Scale is a 1-to-5 categorization system that rates hurricanes based on their sustained wind speeds and potential for property damage.
-
D.
Hurricane Sandy flooding in 2012
Hurricane Sandy flooding in 2012 was a devastating storm surge and inundation event along the U.S. East Coast that caused widespread damage, power outages, and displacement in coastal communities.
-
E.
Hurricane Specialist Unit
The Hurricane Specialist Unit is the team of expert meteorologists at the National Hurricane Center responsible for forecasting, tracking, and issuing warnings for tropical cyclones.
- 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: Sea, Lake, and Overland Surges from Hurricanes model Triple: [Storm Surge Unit, usesModel, Sea, Lake, and Overland Surges from Hurricanes model]
Generated description
The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is a computer simulation tool developed by the U.S. National Weather Service to estimate storm surge heights and inundation from tropical cyclones for coastal emergency planning and forecasting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sea, Lake, and Overland Surges from Hurricanes model Target entity description: The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is a computer simulation tool developed by the U.S. National Weather Service to estimate storm surge heights and inundation from tropical cyclones for coastal emergency planning and forecasting.
-
A.
Storm Surge Unit
The Storm Surge Unit is a specialized division of the National Hurricane Center that analyzes and forecasts coastal flooding risks associated with tropical cyclones and other storm events.
-
B.
Atlantic coastal defenses of Puerto Rico
The Atlantic coastal defenses of Puerto Rico comprise the historic fortifications, walls, and military structures built primarily by the Spanish Empire to protect the island’s northern coastline and the strategic port of San Juan from seaborne attacks.
-
C.
Saffir–Simpson Hurricane Wind Scale
The Saffir–Simpson Hurricane Wind Scale is a 1-to-5 categorization system that rates hurricanes based on their sustained wind speeds and potential for property damage.
-
D.
Hurricane Sandy flooding in 2012
Hurricane Sandy flooding in 2012 was a devastating storm surge and inundation event along the U.S. East Coast that caused widespread damage, power outages, and displacement in coastal communities.
-
E.
Hurricane Specialist Unit
The Hurricane Specialist Unit is the team of expert meteorologists at the National Hurricane Center responsible for forecasting, tracking, and issuing warnings for tropical cyclones.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3404348190bc843022fbd2b4d0 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5197259c8190bffbbb4abaaddfd0 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae532d39d8819097ae5826b42f92b2 |
completed | March 9, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae539f7f008190b5f9d15fb3d362d9 |
completed | March 9, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:44 p.m.