Triple

T8055017
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Natural and Agricultural Sciences E187976 entity
Predicate hasDepartment P35 FINISHED
Object Department of Consumer and Food Sciences
The Department of Consumer and Food Sciences is an academic unit focused on food science, nutrition, and consumer-related research and education within the natural and agricultural sciences.
E707019 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 Consumer and Food Sciences | Statement: [Faculty of Natural and Agricultural Sciences, hasDepartment, Department of Consumer and Food Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Consumer and Food Sciences
Context triple: [Faculty of Natural and Agricultural Sciences, hasDepartment, Department of Consumer and Food Sciences]
  • A. 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.
  • 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 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.
  • D. Department of Nutritional Sciences
    The Department of Nutritional Sciences is an academic unit at the University of Vienna dedicated to research and education in human nutrition, dietetics, and related health sciences.
  • E. Department of Human Health and Nutritional Sciences
    The Department of Human Health and Nutritional Sciences is an academic unit focused on research and education in human health, physiology, and nutrition within the biological sciences.
  • 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 Consumer and Food Sciences
Triple: [Faculty of Natural and Agricultural Sciences, hasDepartment, Department of Consumer and Food Sciences]
Generated description
The Department of Consumer and Food Sciences is an academic unit focused on food science, nutrition, and consumer-related research and education within the natural and agricultural sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Consumer and Food Sciences
Target entity description: The Department of Consumer and Food Sciences is an academic unit focused on food science, nutrition, and consumer-related research and education within the natural and agricultural sciences.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Department of Nutritional Sciences
    The Department of Nutritional Sciences is an academic unit at the University of Vienna dedicated to research and education in human nutrition, dietetics, and related health sciences.
  • E. Department of Human Health and Nutritional Sciences
    The Department of Human Health and Nutritional Sciences is an academic unit focused on research and education in human health, physiology, and nutrition within the biological sciences.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa16804819094926ff2ff053c80 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5725c5308190b2eb565902124b10 completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58ae255c8190a6a2d2f335c6cc3f completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cd22b188190b8a31e8e8ac8b98d completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:25 p.m.