Triple

T13756233
Position Surface form Disambiguated ID Type / Status
Subject Great Lakes Environmental Research Laboratory E330479 entity
Predicate dataPortal P14669 FINISHED
Object Great Lakes Coastal Forecasting System data
Great Lakes Coastal Forecasting System data consists of numerical model outputs and observations that provide detailed forecasts and analyses of water levels, waves, currents, and related coastal conditions across the Great Lakes.
E1059020 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 Lakes Coastal Forecasting System data | Statement: [Great Lakes Environmental Research Laboratory, dataPortal, Great Lakes Coastal Forecasting System data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Lakes Coastal Forecasting System data
Context triple: [Great Lakes Environmental Research Laboratory, dataPortal, Great Lakes Coastal Forecasting System data]
  • A. 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.
  • B. Global Data-processing and Forecasting System
    The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
  • C. Sanctuary of the Great Lakes
    Sanctuary of the Great Lakes is a nickname for Alpena, Michigan, highlighting its rich maritime heritage and proximity to protected Great Lakes waters.
  • D. Ocean Prediction Center
    The Ocean Prediction Center is a specialized branch of the U.S. National Weather Service that provides marine weather forecasts and warnings for the North Atlantic and North Pacific Oceans to support maritime safety and operations.
  • E. National Marine Environmental Forecasting Center
    The National Marine Environmental Forecasting Center is a Chinese governmental institution responsible for monitoring, forecasting, and providing early warnings on marine environmental conditions and disasters.
  • 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 Lakes Coastal Forecasting System data
Triple: [Great Lakes Environmental Research Laboratory, dataPortal, Great Lakes Coastal Forecasting System data]
Generated description
Great Lakes Coastal Forecasting System data consists of numerical model outputs and observations that provide detailed forecasts and analyses of water levels, waves, currents, and related coastal conditions across the Great Lakes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Great Lakes Coastal Forecasting System data
Target entity description: Great Lakes Coastal Forecasting System data consists of numerical model outputs and observations that provide detailed forecasts and analyses of water levels, waves, currents, and related coastal conditions across the Great Lakes.
  • A. 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.
  • B. Global Data-processing and Forecasting System
    The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
  • C. Sanctuary of the Great Lakes
    Sanctuary of the Great Lakes is a nickname for Alpena, Michigan, highlighting its rich maritime heritage and proximity to protected Great Lakes waters.
  • D. Ocean Prediction Center
    The Ocean Prediction Center is a specialized branch of the U.S. National Weather Service that provides marine weather forecasts and warnings for the North Atlantic and North Pacific Oceans to support maritime safety and operations.
  • E. National Marine Environmental Forecasting Center
    The National Marine Environmental Forecasting Center is a Chinese governmental institution responsible for monitoring, forecasting, and providing early warnings on marine environmental conditions and disasters.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022286b481908f8a801042743512 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a859e6748190aa1899830a02b710 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a91edc288190a95079e3ca11cfa7 completed May 3, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 10:09 p.m.