Triple
T7250203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Agricultural College |
E157577
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Agricultural Economics and Business
The Department of Agricultural Economics and Business is an academic unit specializing in the economic, business, and policy aspects of agriculture and food systems within the Ontario Agricultural College.
|
E652380
|
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 Agricultural Economics and Business | Statement: [Ontario Agricultural College, hasDepartment, Department of Agricultural Economics and Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Agricultural Economics and Business Context triple: [Ontario Agricultural College, hasDepartment, Department of Agricultural Economics and Business]
-
A.
Department of Agricultural Economics
The Department of Agricultural Economics is an academic unit specializing in the economic analysis of agriculture, food systems, and rural development within Hokkaido University's Faculty of Agriculture.
-
B.
Division of Agricultural Economics
The Division of Agricultural Economics is a research and academic unit of the Indian Agricultural Research Institute that focuses on economic analysis of agriculture, including farm management, policy, markets, and rural development.
-
C.
Department of Agricultural and Resource Economics
The Department of Agricultural and Resource Economics is an academic unit at the University of Tokyo that focuses on the economic analysis and management of agriculture, natural resources, and related rural and environmental issues.
-
D.
Resource and Rural Economics Division
The Resource and Rural Economics Division is a unit of the U.S. Department of Agriculture’s Economic Research Service that conducts research and analysis on natural resources, environmental policy, and rural economic issues.
-
E.
Department of Business and Economics
The Department of Business and Economics at the University of Wisconsin–Superior is an academic unit that offers undergraduate programs and coursework in areas such as business administration, management, and economics.
- 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 Agricultural Economics and Business Triple: [Ontario Agricultural College, hasDepartment, Department of Agricultural Economics and Business]
Generated description
The Department of Agricultural Economics and Business is an academic unit specializing in the economic, business, and policy aspects of agriculture and food systems within the Ontario Agricultural College.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Agricultural Economics and Business Target entity description: The Department of Agricultural Economics and Business is an academic unit specializing in the economic, business, and policy aspects of agriculture and food systems within the Ontario Agricultural College.
-
A.
Department of Agricultural Economics
The Department of Agricultural Economics is an academic unit specializing in the economic analysis of agriculture, food systems, and rural development within Hokkaido University's Faculty of Agriculture.
-
B.
Division of Agricultural Economics
The Division of Agricultural Economics is a research and academic unit of the Indian Agricultural Research Institute that focuses on economic analysis of agriculture, including farm management, policy, markets, and rural development.
-
C.
Department of Agricultural and Resource Economics
The Department of Agricultural and Resource Economics is an academic unit at the University of Tokyo that focuses on the economic analysis and management of agriculture, natural resources, and related rural and environmental issues.
-
D.
Resource and Rural Economics Division
The Resource and Rural Economics Division is a unit of the U.S. Department of Agriculture’s Economic Research Service that conducts research and analysis on natural resources, environmental policy, and rural economic issues.
-
E.
Department of Business and Economics
The Department of Business and Economics at the University of Wisconsin–Superior is an academic unit that offers undergraduate programs and coursework in areas such as business administration, management, and economics.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea77a3588190accf31860170f052 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a2ba748190890c2980ca4a8ecd |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d4dd5c588190b9129f0c132d91d3 |
completed | March 28, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d58b19e48190b9fdb1181387acea |
completed | March 28, 2026, 1:20 p.m. |
Created at: March 27, 2026, 2:56 p.m.