Triple
T9591421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto University Graduate School of Agriculture |
E231425
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Division of Forest and Biomaterials Science
The Division of Forest and Biomaterials Science is an academic unit at Kyoto University focused on education and research in forestry, wood science, and sustainable biomaterials.
|
E809627
|
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: Division of Forest and Biomaterials Science | Statement: [Kyoto University Graduate School of Agriculture, hasUnit, Division of Forest and Biomaterials Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Division of Forest and Biomaterials Science Context triple: [Kyoto University Graduate School of Agriculture, hasUnit, Division of Forest and Biomaterials Science]
-
A.
Department of Forest Biomaterials
The Department of Forest Biomaterials is an academic unit focused on the science, engineering, and sustainable use of wood, paper, and other renewable forest-based materials.
-
B.
Department of Forest Science
The Department of Forest Science is an academic division at Hokkaido University's Faculty of Agriculture that focuses on education and research in forestry, forest ecosystems, and sustainable forest management.
-
C.
Department of Forest Science
The Department of Forest Science is an academic unit at the University of Tokyo dedicated to education and research in forestry, forest ecosystems, and sustainable management of forest resources.
-
D.
Forest Resources Division
The Forest Resources Division is a unit of Michigan's state government responsible for managing, protecting, and sustainably using the state's forested lands and related natural resources.
-
E.
Forest Research
Forest Research is the UK’s principal organization for forestry and tree-related scientific research, providing evidence and expertise to support sustainable forest management and policy.
- 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: Division of Forest and Biomaterials Science Triple: [Kyoto University Graduate School of Agriculture, hasUnit, Division of Forest and Biomaterials Science]
Generated description
The Division of Forest and Biomaterials Science is an academic unit at Kyoto University focused on education and research in forestry, wood science, and sustainable biomaterials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Division of Forest and Biomaterials Science Target entity description: The Division of Forest and Biomaterials Science is an academic unit at Kyoto University focused on education and research in forestry, wood science, and sustainable biomaterials.
-
A.
Department of Forest Biomaterials
The Department of Forest Biomaterials is an academic unit focused on the science, engineering, and sustainable use of wood, paper, and other renewable forest-based materials.
-
B.
Department of Forest Science
The Department of Forest Science is an academic unit at the University of Tokyo dedicated to education and research in forestry, forest ecosystems, and sustainable management of forest resources.
-
C.
Department of Forest Science
The Department of Forest Science is an academic division at Hokkaido University's Faculty of Agriculture that focuses on education and research in forestry, forest ecosystems, and sustainable forest management.
-
D.
Forest Resources Division
The Forest Resources Division is a unit of Michigan's state government responsible for managing, protecting, and sustainably using the state's forested lands and related natural resources.
-
E.
Forest Research
Forest Research is the UK’s principal organization for forestry and tree-related scientific research, providing evidence and expertise to support sustainable forest management and policy.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a10b85881908bfc783dcb7170aa |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1791e330881908a6ad31a5bdbccec |
completed | April 4, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_69d179e99d6481909d31145b6e627a29 |
completed | April 4, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17a3aebfc8190acbe62ac900dd9e7 |
completed | April 4, 2026, 8:53 p.m. |
Created at: March 30, 2026, 8:06 p.m.