Triple
T19493827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Food and Agricultural Sciences |
E487718
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Department of Agricultural and Biological Engineering |
—
|
NE NERFINISHED |
How this triple was built (2 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 and Biological Engineering | Statement: [Institute of Food and Agricultural Sciences, hasPart, Department of Agricultural and Biological Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Agricultural and Biological Engineering Context triple: [Institute of Food and Agricultural Sciences, hasPart, Department of Agricultural and Biological Engineering]
-
A.
Department of Agricultural Engineering
The Department of Agricultural Engineering is an academic unit that focuses on applying engineering principles and technologies to improve agricultural production, processing, and resource management.
-
B.
Department of Bioproducts and Biosystems Engineering
The Department of Bioproducts and Biosystems Engineering is an academic unit that focuses on sustainable bioproducts, environmental and ecological engineering, and the application of engineering principles to biological systems.
-
C.
Department of Agricultural and Biological Engineering (Purdue University)
chosen
The Department of Agricultural and Biological Engineering at Purdue University is a leading academic unit that integrates engineering, agriculture, and life sciences to develop innovative solutions for food, environmental, and biological systems.
-
D.
Department of Agricultural and Environmental Engineering
The Department of Agricultural and Environmental Engineering is an academic unit at Kyoto University focused on research and education in technologies and systems that support sustainable agriculture and environmental management.
-
E.
Division of Agricultural Engineering
The Division of Agricultural Engineering is a specialized research and academic unit of the Indian Agricultural Research Institute focused on developing and improving farm machinery, irrigation, post-harvest technology, and other engineering solutions for agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349002788190afe7831d008d440f |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.