Triple
T22043874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Agriculture, Universitas Padjadjaran |
E544709
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Agronomy |
—
|
NE NERFINISHED |
How this triple was built (3 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 Agronomy | Statement: [Faculty of Agriculture, Universitas Padjadjaran, hasDepartment, Department of Agronomy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Agronomy Context triple: [Faculty of Agriculture, Universitas Padjadjaran, hasDepartment, Department of Agronomy]
-
A.
Division of Agronomy
The Division of Agronomy is a key research and academic unit of the Indian Agricultural Research Institute focused on improving crop production systems, soil and water management, and sustainable farming practices.
-
B.
Department of Plant Production
The Department of Plant Production is an academic unit within the University of Jordan’s Faculty of Agriculture that focuses on teaching and research in crop science, horticulture, and related plant production technologies.
-
C.
College of Agronomy
The College of Agronomy is an academic unit specializing in crop science, agricultural production, and related research and education within Hunan Agricultural University.
-
D.
Department of Crop Science
The Department of Crop Science is an academic unit within the University of Ruhuna’s Faculty of Agriculture that focuses on teaching and research related to crop production, management, and improvement.
-
E.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Federal University of Rio Grande do Sul dedicated to education and research in agricultural sciences and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Agronomy Target entity description: The Department of Agronomy is an academic unit at Universitas Padjadjaran’s Faculty of Agriculture that focuses on the science and technology of crop production and field management.
-
A.
Division of Agronomy
The Division of Agronomy is a key research and academic unit of the Indian Agricultural Research Institute focused on improving crop production systems, soil and water management, and sustainable farming practices.
-
B.
Department of Plant Production
The Department of Plant Production is an academic unit within the University of Jordan’s Faculty of Agriculture that focuses on teaching and research in crop science, horticulture, and related plant production technologies.
-
C.
College of Agronomy
The College of Agronomy is an academic unit specializing in crop science, agricultural production, and related research and education within Hunan Agricultural University.
-
D.
Department of Crop Science
The Department of Crop Science is an academic unit within the University of Ruhuna’s Faculty of Agriculture that focuses on teaching and research related to crop production, management, and improvement.
-
E.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Universidad de San Carlos de Guatemala dedicated to education and research in agricultural and environmental sciences.
- F. None of above. chosen
Provenance (2 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282d5bb08190849d5084962bf3a5 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.