Triple

T22053860
Position Surface form Disambiguated ID Type / Status
Subject Weihenstephan-Triesdorf University of Applied Sciences E544953 entity
Predicate hasDepartment P35 FINISHED
Object Department of Sustainable Agriculture and Energy Systems
The Department of Sustainable Agriculture and Energy Systems is an academic unit focused on integrating environmentally responsible farming practices with innovative renewable energy technologies and resource-efficient systems.
E1514860 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 Sustainable Agriculture and Energy Systems | Statement: [Weihenstephan-Triesdorf University of Applied Sciences, hasDepartment, Department of Sustainable Agriculture and Energy Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Sustainable Agriculture and Energy Systems
Context triple: [Weihenstephan-Triesdorf University of Applied Sciences, hasDepartment, Department of Sustainable Agriculture and Energy Systems]
  • A. Department of Sustainable Systems Management
    The Department of Sustainable Systems Management is an academic unit within the University of Minnesota's College of Food, Agricultural and Natural Resource Sciences focused on integrating sustainability principles into the management of natural, agricultural, and built systems.
  • B. Department of Agroecosystem Science
    The Department of Agroecosystem Science is an academic unit at Hokkaido University's Faculty of Agriculture focused on the study and sustainable management of agricultural ecosystems and their environmental interactions.
  • C. Department of Global Agricultural Sciences
    The Department of Global Agricultural Sciences is an academic unit at the University of Tokyo focused on addressing worldwide agricultural and environmental challenges through interdisciplinary education and research.
  • D. Department of Agro-environmental Sciences
    The Department of Agro-environmental Sciences is an academic unit at Kyoto University focused on research and education in sustainable agriculture, environmental conservation, and the interactions between agricultural systems and natural ecosystems.
  • E. Department of Agricultural and Environmental Engineering
    The Department of Agricultural and Environmental Engineering is an academic unit at Kyoto University focused on research and education in technologies and systems that support sustainable agriculture and environmental management.
  • 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 Sustainable Agriculture and Energy Systems
Triple: [Weihenstephan-Triesdorf University of Applied Sciences, hasDepartment, Department of Sustainable Agriculture and Energy Systems]
Generated description
The Department of Sustainable Agriculture and Energy Systems is an academic unit focused on integrating environmentally responsible farming practices with innovative renewable energy technologies and resource-efficient systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Sustainable Agriculture and Energy Systems
Target entity description: The Department of Sustainable Agriculture and Energy Systems is an academic unit focused on integrating environmentally responsible farming practices with innovative renewable energy technologies and resource-efficient systems.
  • A. Department of Sustainable Systems Management
    The Department of Sustainable Systems Management is an academic unit within the University of Minnesota's College of Food, Agricultural and Natural Resource Sciences focused on integrating sustainability principles into the management of natural, agricultural, and built systems.
  • B. Department of Agroecosystem Science
    The Department of Agroecosystem Science is an academic unit at Hokkaido University's Faculty of Agriculture focused on the study and sustainable management of agricultural ecosystems and their environmental interactions.
  • C. Department of Global Agricultural Sciences
    The Department of Global Agricultural Sciences is an academic unit at the University of Tokyo focused on addressing worldwide agricultural and environmental challenges through interdisciplinary education and research.
  • D. Department of Agro-environmental Sciences
    The Department of Agro-environmental Sciences is an academic unit at Kyoto University focused on research and education in sustainable agriculture, environmental conservation, and the interactions between agricultural systems and natural ecosystems.
  • E. Department of Agricultural and Environmental Engineering
    The Department of Agricultural and Environmental Engineering is an academic unit at Kyoto University focused on research and education in technologies and systems that support sustainable agriculture and environmental management.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12855c7708190a8de44837140b654 completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7d735c8190bdfd9ceb60e63038 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7bdd8a2c81909d189a6c86906a85 completed May 18, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7c9887ec81908638c72bbfca1580 completed May 18, 2026, 2:42 a.m.
Created at: April 16, 2026, 8:26 p.m.