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.