Triple

T13755856
Position Surface form Disambiguated ID Type / Status
Subject OAR E330472 entity
Predicate hasPart P35 FINISHED
Object NOAA Cooperative Institute for Great Lakes Research
The NOAA Cooperative Institute for Great Lakes Research is a research consortium that partners with the National Oceanic and Atmospheric Administration to study and protect the Great Lakes ecosystem and support informed resource management.
E1059001 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: NOAA Cooperative Institute for Great Lakes Research | Statement: [OAR, hasPart, NOAA Cooperative Institute for Great Lakes Research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOAA Cooperative Institute for Great Lakes Research
Context triple: [OAR, hasPart, NOAA Cooperative Institute for Great Lakes Research]
  • A. Great Lakes Research Center
    The Great Lakes Research Center is a multidisciplinary research facility at Michigan Technological University focused on advancing science, engineering, and policy related to the Great Lakes and freshwater systems.
  • B. Great Lakes Environmental Research Laboratory
    The Great Lakes Environmental Research Laboratory is a NOAA research center dedicated to studying and monitoring the Great Lakes’ ecosystems, water quality, and environmental conditions to support resource management and policy.
  • C. University of Wisconsin–Madison Center for Limnology
    The University of Wisconsin–Madison Center for Limnology is a leading research institute focused on the ecology, management, and conservation of freshwater lakes and other inland waters.
  • D. Wisconsin Institutes for Discovery
    The Wisconsin Institutes for Discovery is an interdisciplinary research and public engagement center at the University of Wisconsin–Madison that fosters collaboration across science, engineering, arts, and education.
  • E. Lake Superior State University
    Lake Superior State University is a small public university in Michigan’s Upper Peninsula known for its close-knit campus, programs in natural resources and engineering, and proximity to the Great Lakes.
  • 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: NOAA Cooperative Institute for Great Lakes Research
Triple: [OAR, hasPart, NOAA Cooperative Institute for Great Lakes Research]
Generated description
The NOAA Cooperative Institute for Great Lakes Research is a research consortium that partners with the National Oceanic and Atmospheric Administration to study and protect the Great Lakes ecosystem and support informed resource management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NOAA Cooperative Institute for Great Lakes Research
Target entity description: The NOAA Cooperative Institute for Great Lakes Research is a research consortium that partners with the National Oceanic and Atmospheric Administration to study and protect the Great Lakes ecosystem and support informed resource management.
  • A. Great Lakes Research Center
    The Great Lakes Research Center is a multidisciplinary research facility at Michigan Technological University focused on advancing science, engineering, and policy related to the Great Lakes and freshwater systems.
  • B. Great Lakes Environmental Research Laboratory
    The Great Lakes Environmental Research Laboratory is a NOAA research center dedicated to studying and monitoring the Great Lakes’ ecosystems, water quality, and environmental conditions to support resource management and policy.
  • C. University of Wisconsin–Madison Center for Limnology
    The University of Wisconsin–Madison Center for Limnology is a leading research institute focused on the ecology, management, and conservation of freshwater lakes and other inland waters.
  • D. Wisconsin Institutes for Discovery
    The Wisconsin Institutes for Discovery is an interdisciplinary research and public engagement center at the University of Wisconsin–Madison that fosters collaboration across science, engineering, arts, and education.
  • E. Lake Superior State University
    Lake Superior State University is a small public university in Michigan’s Upper Peninsula known for its close-knit campus, programs in natural resources and engineering, and proximity to the Great Lakes.
  • 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_69de02179c948190a652cc8c586e418f 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.