Triple

T20805664
Position Surface form Disambiguated ID Type / Status
Subject Hurricane and Storm Damage Risk Reduction System program E512145 entity
Predicate hasLongName P26903 FINISHED
Object Hurricane and Storm Damage Risk Reduction System — NE NERFINISHED

How this triple was built (2 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: Hurricane and Storm Damage Risk Reduction System | Statement: [Hurricane and Storm Damage Risk Reduction System program, hasLongName, Hurricane and Storm Damage Risk Reduction System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hurricane and Storm Damage Risk Reduction System
Context triple: [Hurricane and Storm Damage Risk Reduction System program, hasLongName, Hurricane and Storm Damage Risk Reduction System]
  • A. Hurricane and Storm Damage Risk Reduction System program chosen
    The Hurricane and Storm Damage Risk Reduction System program is a U.S. Army Corps of Engineers initiative designed to strengthen and modernize flood and storm surge defenses in the New Orleans region following Hurricane Katrina.
  • B. U.S. hurricane forecast and warning system
    The U.S. hurricane forecast and warning system is the national framework of observational tools, computer models, and communication protocols used to predict hurricanes and issue timely alerts to protect life and property.
  • C. 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.
  • D. 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.
  • E. NHC
    NHC is China’s central government agency responsible for national health policy, public health administration, and oversight of the healthcare system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cf1cbc819092d92625dfb107d0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.