Triple
T9600292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkeley Water Center |
E231830
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Department of Environmental Science, Policy, and Management, UC Berkeley
The Department of Environmental Science, Policy, and Management at UC Berkeley is an interdisciplinary academic unit that integrates natural and social sciences to study and address complex environmental and sustainability challenges.
|
E577796
|
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: Department of Environmental Science, Policy, and Management, UC Berkeley | Statement: [Berkeley Water Center, associatedWith, Department of Environmental Science, Policy, and Management, UC Berkeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Environmental Science, Policy, and Management, UC Berkeley Context triple: [Berkeley Water Center, associatedWith, Department of Environmental Science, Policy, and Management, UC Berkeley]
-
A.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
-
B.
Department of Environmental Science and Policy
The Department of Environmental Science and Policy is an academic unit focused on studying environmental systems and developing policies and management strategies to address environmental challenges.
-
C.
School of Earth, Energy & Environmental Sciences at Stanford University
The School of Earth, Energy & Environmental Sciences at Stanford University is an academic division focused on research and education in geosciences, energy resources, and environmental sustainability.
-
D.
University of California, Berkeley Department of Political Science
The University of California, Berkeley Department of Political Science is a leading academic department renowned for its influential scholarship and teaching across comparative politics, international relations, political theory, and American politics.
-
E.
Berkeley Energy and Climate Institute
The Berkeley Energy and Climate Institute is a multidisciplinary research center at UC Berkeley focused on advancing solutions to global energy and climate challenges through research, education, and policy engagement.
- 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: Department of Environmental Science, Policy, and Management, UC Berkeley Triple: [Berkeley Water Center, associatedWith, Department of Environmental Science, Policy, and Management, UC Berkeley]
Generated description
The Department of Environmental Science, Policy, and Management at UC Berkeley is an interdisciplinary academic unit that integrates natural and social sciences to study and address complex environmental and sustainability challenges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Environmental Science, Policy, and Management, UC Berkeley Target entity description: The Department of Environmental Science, Policy, and Management at UC Berkeley is an interdisciplinary academic unit that integrates natural and social sciences to study and address complex environmental and sustainability challenges.
-
A.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
-
B.
Department of Environmental Science and Policy
chosen
The Department of Environmental Science and Policy is an academic unit focused on studying environmental systems and developing policies and management strategies to address environmental challenges.
-
C.
School of Earth, Energy & Environmental Sciences at Stanford University
The School of Earth, Energy & Environmental Sciences at Stanford University is an academic division focused on research and education in geosciences, energy resources, and environmental sustainability.
-
D.
University of California, Berkeley Department of Political Science
The University of California, Berkeley Department of Political Science is a leading academic department renowned for its influential scholarship and teaching across comparative politics, international relations, political theory, and American politics.
-
E.
Berkeley Energy and Climate Institute
The Berkeley Energy and Climate Institute is a multidisciplinary research center at UC Berkeley focused on advancing solutions to global energy and climate challenges through research, education, and policy engagement.
- F. None of above.
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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3934d481908400a63335d644bd |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161a4a7ac81909060a929e5489512 |
completed | April 4, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69d16387182c8190bd2115dbffb31d5c |
completed | April 4, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 8:07 p.m.