Triple
T20547257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HBTU |
E504500
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Food Technology |
—
|
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 Food Technology | Statement: [HBTU, hasDepartment, Department of Food Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Food Technology Context triple: [HBTU, hasDepartment, Department of Food Technology]
-
A.
Department of Food Science and Technology
The Department of Food Science and Technology is an academic unit focused on research and education in food chemistry, safety, processing, and innovation within the broader fields of food and wine science.
-
B.
Department of Food Engineering and Technology
The Department of Food Engineering and Technology is an academic unit specializing in food processing, preservation, and related engineering sciences within the Institute of Chemical Technology, Mumbai.
-
C.
Department of Food Bioscience and Technology
The Department of Food Bioscience and Technology is an academic unit specializing in the scientific and technological study of food, including its safety, quality, processing, and biological properties.
-
D.
Department of Nutrition and Food Technology
The Department of Nutrition and Food Technology is an academic unit at the University of Jordan that focuses on teaching and research in human nutrition, dietetics, and food science.
-
E.
Department of Post-Harvest Technology
The Department of Post-Harvest Technology is an academic unit focused on improving the handling, processing, storage, and preservation of agricultural products after harvest to reduce losses and enhance quality and value.
- 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 Food Technology Target entity description: The Department of Food Technology is an academic unit at HBTU specializing in education and research related to food science, processing, and preservation technologies.
-
A.
Department of Food Science and Technology
The Department of Food Science and Technology is an academic unit focused on research and education in food chemistry, safety, processing, and innovation within the broader fields of food and wine science.
-
B.
Department of Food Engineering and Technology
The Department of Food Engineering and Technology is an academic unit specializing in food processing, preservation, and related engineering sciences within the Institute of Chemical Technology, Mumbai.
-
C.
Department of Food Bioscience and Technology
The Department of Food Bioscience and Technology is an academic unit specializing in the scientific and technological study of food, including its safety, quality, processing, and biological properties.
-
D.
Department of Nutrition and Food Technology
The Department of Nutrition and Food Technology is an academic unit at the University of Jordan that focuses on teaching and research in human nutrition, dietetics, and food science.
-
E.
Department of Post-Harvest Technology
The Department of Post-Harvest Technology is an academic unit focused on improving the handling, processing, storage, and preservation of agricultural products after harvest to reduce losses and enhance quality and value.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.