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.