Triple
T1955634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State University |
E42260
|
entity |
| Predicate | hasCollege |
P113
|
FINISHED |
| Object |
College of Agricultural, Human, and Natural Resource Sciences
The College of Agricultural, Human, and Natural Resource Sciences is a major academic and research unit of Washington State University focused on agriculture, natural resources, and human sciences.
|
E218433
|
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: College of Agricultural, Human, and Natural Resource Sciences | Statement: [Washington State University, hasCollege, College of Agricultural, Human, and Natural Resource Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College of Agricultural, Human, and Natural Resource Sciences Context triple: [Washington State University, hasCollege, College of Agricultural, Human, and Natural Resource Sciences]
-
A.
College of Agricultural Sciences & Natural Resources
The College of Agricultural Sciences & Natural Resources is an academic division of Texas Tech University focused on education and research in agriculture, natural resources, and related fields.
-
B.
College of Food, Agricultural and Natural Resource Sciences
The College of Food, Agricultural and Natural Resource Sciences is a University of Minnesota college focused on education and research in agriculture, food systems, environmental science, and natural resources.
-
C.
College of Agricultural Sciences
The College of Agricultural Sciences is a major academic and research unit at Oregon State University focused on agriculture, food systems, natural resources, and environmental sustainability.
-
D.
College of Agricultural and Environmental Sciences
The College of Agricultural and Environmental Sciences is a major academic unit of the University of Georgia that focuses on education and research in agriculture, environmental science, and related life sciences.
-
E.
College of Agricultural and Environmental Sciences
The College of Agricultural and Environmental Sciences is a leading UC Davis academic division specializing in agriculture, environmental science, and related life 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: College of Agricultural, Human, and Natural Resource Sciences Triple: [Washington State University, hasCollege, College of Agricultural, Human, and Natural Resource Sciences]
Generated description
The College of Agricultural, Human, and Natural Resource Sciences is a major academic and research unit of Washington State University focused on agriculture, natural resources, and human sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College of Agricultural, Human, and Natural Resource Sciences Target entity description: The College of Agricultural, Human, and Natural Resource Sciences is a major academic and research unit of Washington State University focused on agriculture, natural resources, and human sciences.
-
A.
College of Agricultural Sciences & Natural Resources
The College of Agricultural Sciences & Natural Resources is an academic division of Texas Tech University focused on education and research in agriculture, natural resources, and related fields.
-
B.
College of Food, Agricultural and Natural Resource Sciences
The College of Food, Agricultural and Natural Resource Sciences is a University of Minnesota college focused on education and research in agriculture, food systems, environmental science, and natural resources.
-
C.
College of Agricultural Sciences
The College of Agricultural Sciences is a major academic and research unit at Oregon State University focused on agriculture, food systems, natural resources, and environmental sustainability.
-
D.
College of Agricultural and Environmental Sciences
The College of Agricultural and Environmental Sciences is a major academic unit of the University of Georgia that focuses on education and research in agriculture, environmental science, and related life sciences.
-
E.
College of Agricultural and Environmental Sciences
The College of Agricultural and Environmental Sciences is a leading UC Davis academic division specializing in agriculture, environmental science, and related life 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37b4a38819099f98be92be91ade |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbca5a7081908f3fa8eaa8f5aa3d |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc6bd8e08190a065a89ab3412126 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcee414c8190b1a0574f6bd55602 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.