Triple

T19086871
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Agricultural Engineering E467171 entity
Predicate typicalDepartment P1467 FINISHED
Object 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.
E1357175 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: Department of Post-Harvest Technology | Statement: [Faculty of Agricultural Engineering, typicalDepartment, Department of Post-Harvest Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Post-Harvest Technology
Context triple: [Faculty of Agricultural Engineering, typicalDepartment, Department of Post-Harvest Technology]
  • A. Division of Food Science and Postharvest Technology
    The Division of Food Science and Postharvest Technology is a specialized unit of the Indian Agricultural Research Institute focused on research, education, and innovation in food processing, preservation, and postharvest management of agricultural produce.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: Department of Post-Harvest Technology
Triple: [Faculty of Agricultural Engineering, typicalDepartment, Department of Post-Harvest Technology]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Post-Harvest Technology
Target entity description: 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.
  • A. Division of Food Science and Postharvest Technology
    The Division of Food Science and Postharvest Technology is a specialized unit of the Indian Agricultural Research Institute focused on research, education, and innovation in food processing, preservation, and postharvest management of agricultural produce.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e347ee288190a3e935ff89ca94aa completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d368740c81909ec738532cd670bf completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d4ff70d0819089a00de0404768a4 completed May 14, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a05d58227188190928741f15b685cb0 completed May 14, 2026, 2 p.m.
Created at: April 10, 2026, 12:04 p.m.