Triple

T3646794

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lake Mendota	`E77319`	entity
Predicate	monitoredBy	`P752`	FINISHED
Object	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.	`E375873`	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: University of Wisconsin–Madison Center for Limnology | Statement: [Lake Mendota, monitoredBy, University of Wisconsin–Madison Center for Limnology]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: University of Wisconsin–Madison Center for Limnology
Context triple: [Lake Mendota, monitoredBy, University of Wisconsin–Madison Center for Limnology]

A. 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.
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
The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
D. Woods Hole Oceanographic Institution
Woods Hole Oceanographic Institution is a leading nonprofit ocean research and education organization renowned for its deep-sea exploration, marine science, and advanced oceanographic technology.
E. Odum School of Ecology
The Odum School of Ecology is a specialized academic unit renowned for its research and education in ecology and environmental science.
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: University of Wisconsin–Madison Center for Limnology
Triple: [Lake Mendota, monitoredBy, University of Wisconsin–Madison Center for Limnology]

Generated description

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.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: University of Wisconsin–Madison Center for Limnology
Target entity description: 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.

A. 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.
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
The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
D. Woods Hole Oceanographic Institution
Woods Hole Oceanographic Institution is a leading nonprofit ocean research and education organization renowned for its deep-sea exploration, marine science, and advanced oceanographic technology.
E. Odum School of Ecology
The Odum School of Ecology is a specialized academic unit renowned for its research and education in ecology and environmental science.
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_69ad85de1b988190a45f8dbfebc806fc`	completed	March 8, 2026, 2:21 p.m.
NER	Named-entity recognition	`batch_69adc3895198819090a17a8894e91d00`	completed	March 8, 2026, 6:44 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b44f394f9c8190881edc18b544dbb7`	completed	March 13, 2026, 5:54 p.m.
NEDg	Description generation	`batch_69b45347e364819080c0dac755405462`	completed	March 13, 2026, 6:11 p.m.
NED2	Entity disambiguation (via description)	`batch_69b45f4640e881909b0e3b68cb899669`	completed	March 13, 2026, 7:02 p.m.

Created at: March 8, 2026, 3:24 p.m.