Triple

T2135729
Position Surface form Disambiguated ID Type / Status
Subject University of Missouri E46647 entity
Predicate hasCollege P113 FINISHED
Object College of Agriculture, Food, and Natural Resources
The College of Agriculture, Food, and Natural Resources is the University of Missouri’s academic division focused on agricultural sciences, food systems, natural resources, and related research and education.
E238270 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: College of Agriculture, Food, and Natural Resources | Statement: [University of Missouri, hasCollege, College of Agriculture, Food, and Natural Resources]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Agriculture, Food, and Natural Resources
Context triple: [University of Missouri, hasCollege, College of Agriculture, Food, and Natural Resources]
  • A. College of Agricultural Sciences and Natural Resources
    The College of Agricultural Sciences and Natural Resources is an academic division of the University of Nebraska–Lincoln focused on education and research in agriculture, natural resources, and related life sciences.
  • B. College of Agricultural Sciences & Natural Resources
    The College of Agricultural Sciences & Natural Resources is an academic division of Texas Tech University focused on education and research in agriculture, natural resources, and related fields.
  • C. College of Food, Agricultural and Natural Resource Sciences
    The College of Food, Agricultural and Natural Resource Sciences is a University of Minnesota college focused on education and research in agriculture, food systems, environmental science, and natural resources.
  • D. College of Agricultural, Human, and Natural Resource Sciences
    The College of Agricultural, Human, and Natural Resource Sciences is a major academic and research unit of Washington State University focused on agriculture, natural resources, and human sciences.
  • E. College of Agriculture and Life Sciences
    The College of Agriculture and Life Sciences is a major academic division of Texas A&M University that focuses on education and research in agriculture, life sciences, natural resources, and related fields.
  • 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: College of Agriculture, Food, and Natural Resources
Triple: [University of Missouri, hasCollege, College of Agriculture, Food, and Natural Resources]
Generated description
The College of Agriculture, Food, and Natural Resources is the University of Missouri’s academic division focused on agricultural sciences, food systems, natural resources, and related research and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Agriculture, Food, and Natural Resources
Target entity description: The College of Agriculture, Food, and Natural Resources is the University of Missouri’s academic division focused on agricultural sciences, food systems, natural resources, and related research and education.
  • A. College of Agricultural Sciences and Natural Resources
    The College of Agricultural Sciences and Natural Resources is an academic division of the University of Nebraska–Lincoln focused on education and research in agriculture, natural resources, and related life sciences.
  • B. College of Agricultural Sciences & Natural Resources
    The College of Agricultural Sciences & Natural Resources is an academic division of Texas Tech University focused on education and research in agriculture, natural resources, and related fields.
  • C. College of Food, Agricultural and Natural Resource Sciences
    The College of Food, Agricultural and Natural Resource Sciences is a University of Minnesota college focused on education and research in agriculture, food systems, environmental science, and natural resources.
  • D. College of Agricultural, Human, and Natural Resource Sciences
    The College of Agricultural, Human, and Natural Resource Sciences is a major academic and research unit of Washington State University focused on agriculture, natural resources, and human sciences.
  • E. College of Agriculture and Life Sciences
    The College of Agriculture and Life Sciences is a major academic and research college at North Carolina State University focused on agriculture, biological sciences, and related applied fields.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d3275481909c8d74ca7c037ddd completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5928f824819089f1044ebd5ff68e completed March 9, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae598b51248190900086fee72c1103 completed March 9, 2026, 5:24 a.m.
Created at: March 4, 2026, 7:44 p.m.