Triple
T1762295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Maine |
E38682
|
entity |
| Predicate | hasCollege |
P113
|
FINISHED |
| Object |
College of Natural Sciences, Forestry, and Agriculture
The College of Natural Sciences, Forestry, and Agriculture is a major academic division of the University of Maine that focuses on education and research in the biological, environmental, agricultural, and natural resource sciences.
|
E195505
|
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 Natural Sciences, Forestry, and Agriculture | Statement: [University of Maine, hasCollege, College of Natural Sciences, Forestry, and Agriculture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College of Natural Sciences, Forestry, and Agriculture Context triple: [University of Maine, hasCollege, College of Natural Sciences, Forestry, and Agriculture]
-
A.
College of Natural and Agricultural Sciences
The College of Natural and Agricultural Sciences is a major academic division of the University of California, Riverside, focused on education and research in the life, physical, and agricultural sciences.
-
B.
College of Natural Resources
The College of Natural Resources is UC Berkeley’s environmental and life sciences college, focusing on ecology, conservation, sustainable resource management, and related social and biological sciences.
-
C.
College of Natural Resources
The College of Natural Resources is an academic unit at North Carolina State University focused on education and research in forestry, environmental science, and the sustainable management of natural resources.
-
D.
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.
-
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 Natural Sciences, Forestry, and Agriculture Triple: [University of Maine, hasCollege, College of Natural Sciences, Forestry, and Agriculture]
Generated description
The College of Natural Sciences, Forestry, and Agriculture is a major academic division of the University of Maine that focuses on education and research in the biological, environmental, agricultural, and natural resource sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College of Natural Sciences, Forestry, and Agriculture Target entity description: The College of Natural Sciences, Forestry, and Agriculture is a major academic division of the University of Maine that focuses on education and research in the biological, environmental, agricultural, and natural resource sciences.
-
A.
College of Natural and Agricultural Sciences
The College of Natural and Agricultural Sciences is a major academic division of the University of California, Riverside, focused on education and research in the life, physical, and agricultural sciences.
-
B.
College of Natural Resources
The College of Natural Resources is UC Berkeley’s environmental and life sciences college, focusing on ecology, conservation, sustainable resource management, and related social and biological sciences.
-
C.
College of Natural Resources
The College of Natural Resources is an academic unit at North Carolina State University focused on education and research in forestry, environmental science, and the sustainable management of natural resources.
-
D.
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.
-
E.
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.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6463ac0081909e9ebe6ebf1db857 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0eef69c8190a4d5c8fdaa02603a |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada207c50881909729bf565c2af9dd |
completed | March 8, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada2c607fc819089d276ae9eca82a4 |
completed | March 8, 2026, 4:24 p.m. |
Created at: March 4, 2026, 7:31 p.m.