Triple

T21368369
Position Surface form Disambiguated ID Type / Status
Subject Tokyo University of Marine Science and Technology E526982 entity
Predicate hasDepartment P35 FINISHED
Object Department of Food Science and Technology
The Department of Food Science and Technology is an academic unit at Tokyo University of Marine Science and Technology focused on research and education in food science, safety, processing, and related technologies, particularly in connection with marine resources.
E1479969 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 Food Science and Technology | Statement: [Tokyo University of Marine Science and Technology, hasDepartment, Department of Food Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Food Science and Technology
Context triple: [Tokyo University of Marine Science and Technology, hasDepartment, Department of Food Science and 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 Science
    The Department of Food Science is an academic unit within the Ontario Agricultural College that focuses on teaching and research in food chemistry, safety, processing, and product development.
  • C. Department of Food Science
    The Department of Food Science is an academic unit at Cornell University specializing in the study and advancement of food chemistry, safety, processing, and sensory science.
  • 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 Food Science and Biotechnology
    The Department of Food Science and Biotechnology is an academic unit at Kyoto University specializing in research and education on food chemistry, safety, processing, and biotechnological applications in agriculture and nutrition.
  • 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 Food Science and Technology
Triple: [Tokyo University of Marine Science and Technology, hasDepartment, Department of Food Science and Technology]
Generated description
The Department of Food Science and Technology is an academic unit at Tokyo University of Marine Science and Technology focused on research and education in food science, safety, processing, and related technologies, particularly in connection with marine resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Food Science and Technology
Target entity description: The Department of Food Science and Technology is an academic unit at Tokyo University of Marine Science and Technology focused on research and education in food science, safety, processing, and related technologies, particularly in connection with marine resources.
  • 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 Science
    The Department of Food Science is an academic unit within the Ontario Agricultural College that focuses on teaching and research in food chemistry, safety, processing, and product development.
  • C. Department of Food Science
    The Department of Food Science is an academic unit at Cornell University specializing in the study and advancement of food chemistry, safety, processing, and sensory science.
  • 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 Food Science and Biotechnology
    The Department of Food Science and Biotechnology is an academic unit at Kyoto University specializing in research and education on food chemistry, safety, processing, and biotechnological applications in agriculture and nutrition.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5baf5fb4819093f8d8afdd83ffdb completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad6e67c88190b8152ce0bcd77f1c completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09ae6c7ce481908021fecbc181bb93 completed May 17, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a09aedbc2dc8190914e279d6425fa50 completed May 17, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:09 p.m.