Triple
T7454694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Agriculture (Purdue University) |
E172091
|
entity |
| Predicate | hasAcademicUnit |
P1488
|
FINISHED |
| Object |
Department of Forestry and Natural Resources (Purdue University)
The Department of Forestry and Natural Resources at Purdue University is an academic unit that focuses on education, research, and outreach in forestry, wildlife, fisheries, and natural resource management and conservation.
|
E665264
|
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 Forestry and Natural Resources (Purdue University) | Statement: [College of Agriculture (Purdue University), hasAcademicUnit, Department of Forestry and Natural Resources (Purdue University)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Forestry and Natural Resources (Purdue University) Context triple: [College of Agriculture (Purdue University), hasAcademicUnit, Department of Forestry and Natural Resources (Purdue University)]
-
A.
Department of Forestry and Environmental Resources
The Department of Forestry and Environmental Resources is an academic unit focused on education and research in forestry, natural resource management, and environmental sustainability.
-
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.
Warnell School of Forestry and Natural Resources
The Warnell School of Forestry and Natural Resources is a specialized academic unit focused on forestry, wildlife, and natural resource management education and research.
-
E.
College of Forest Resources
The College of Forest Resources is an academic unit at Mississippi State University specializing in forestry, wildlife, natural resources, and environmental sciences education and research.
- 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 Forestry and Natural Resources (Purdue University) Triple: [College of Agriculture (Purdue University), hasAcademicUnit, Department of Forestry and Natural Resources (Purdue University)]
Generated description
The Department of Forestry and Natural Resources at Purdue University is an academic unit that focuses on education, research, and outreach in forestry, wildlife, fisheries, and natural resource management and conservation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Forestry and Natural Resources (Purdue University) Target entity description: The Department of Forestry and Natural Resources at Purdue University is an academic unit that focuses on education, research, and outreach in forestry, wildlife, fisheries, and natural resource management and conservation.
-
A.
Department of Forestry and Environmental Resources
The Department of Forestry and Environmental Resources is an academic unit focused on education and research in forestry, natural resource management, and environmental sustainability.
-
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.
Warnell School of Forestry and Natural Resources
The Warnell School of Forestry and Natural Resources is a specialized academic unit focused on forestry, wildlife, and natural resource management education and research.
-
E.
College of Forest Resources
The College of Forest Resources is an academic unit at Mississippi State University specializing in forestry, wildlife, natural resources, and environmental sciences education and research.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3addd648190b618bfbffe08db2c |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827bedc408190a9a77f293fb12762 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c8290c62d0819080a1e1820364da88 |
completed | March 28, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82958eddc8190ad1697969241ec39 |
completed | March 28, 2026, 7:17 p.m. |
Created at: March 27, 2026, 3:14 p.m.