Triple
T2828233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Agriculture, Hokkaido University |
E54973
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Department of Bioresource and Environmental Engineering
The Department of Bioresource and Environmental Engineering is an academic unit at Hokkaido University that focuses on engineering solutions for sustainable use of biological resources and protection of the environment.
|
E301213
|
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 Bioresource and Environmental Engineering | Statement: [Faculty of Agriculture, Hokkaido University, hasDivision, Department of Bioresource and Environmental Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Bioresource and Environmental Engineering Context triple: [Faculty of Agriculture, Hokkaido University, hasDivision, Department of Bioresource and Environmental Engineering]
-
A.
Department of Biological and Environmental Engineering
The Department of Biological and Environmental Engineering is an academic unit at Cornell University that integrates engineering principles with biology and environmental science to address challenges in agriculture, ecosystems, and sustainable resource management.
-
B.
Department of Biological and Environmental Engineering
The Department of Biological and Environmental Engineering is an academic unit at the University of Tokyo that focuses on applying engineering principles to biological systems and environmental challenges in agriculture and related fields.
-
C.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit of Sun Yat-sen University dedicated to education and research on environmental protection, pollution control, and sustainable development.
-
D.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit of Tongji University specializing in education and research on environmental protection, sustainability, and related engineering disciplines.
-
E.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit specializing in education and research on environmental protection, sustainable development, and related engineering solutions.
- 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 Bioresource and Environmental Engineering Triple: [Faculty of Agriculture, Hokkaido University, hasDivision, Department of Bioresource and Environmental Engineering]
Generated description
The Department of Bioresource and Environmental Engineering is an academic unit at Hokkaido University that focuses on engineering solutions for sustainable use of biological resources and protection of the environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Bioresource and Environmental Engineering Target entity description: The Department of Bioresource and Environmental Engineering is an academic unit at Hokkaido University that focuses on engineering solutions for sustainable use of biological resources and protection of the environment.
-
A.
Department of Biological and Environmental Engineering
The Department of Biological and Environmental Engineering is an academic unit at Cornell University that integrates engineering principles with biology and environmental science to address challenges in agriculture, ecosystems, and sustainable resource management.
-
B.
Department of Biological and Environmental Engineering
The Department of Biological and Environmental Engineering is an academic unit at the University of Tokyo that focuses on applying engineering principles to biological systems and environmental challenges in agriculture and related fields.
-
C.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit of Sun Yat-sen University dedicated to education and research on environmental protection, pollution control, and sustainable development.
-
D.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit of Tongji University specializing in education and research on environmental protection, sustainability, and related engineering disciplines.
-
E.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit specializing in education and research on environmental protection, sustainable development, and related engineering solutions.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde97168c8190b31122b2ad9fdebf |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb4f3ec8190987afb7a2ac302e2 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf46a4e88190907ca735a1745c79 |
completed | March 10, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcff778748190978e7d306e0d1ce1 |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:59 p.m.