Triple

T14763284
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Commerce, South Valley University E346925 entity
Predicate hasDepartment P35 FINISHED
Object Department of Quantitative Methods
The Department of Quantitative Methods is an academic unit specializing in statistical, mathematical, and analytical techniques for business and commerce within South Valley University's Faculty of Commerce.
E1118943 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 Quantitative Methods | Statement: [Faculty of Commerce, South Valley University, hasDepartment, Department of Quantitative Methods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Quantitative Methods
Context triple: [Faculty of Commerce, South Valley University, hasDepartment, Department of Quantitative Methods]
  • A. Department of Quantitative Methods
    The Department of Quantitative Methods is an academic unit at Istanbul University’s Faculty of Business Administration specializing in statistical, mathematical, and analytical techniques for business and management research and decision-making.
  • B. Department of Statistics
    The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
  • C. Department of Statistics
    The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
  • D. Department of Statistics
    The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • E. Department of Statistics
    The Department of Statistics is an academic unit at Yangon University of Economics that focuses on teaching and research in statistical theory and its applications to economics 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: Department of Quantitative Methods
Triple: [Faculty of Commerce, South Valley University, hasDepartment, Department of Quantitative Methods]
Generated description
The Department of Quantitative Methods is an academic unit specializing in statistical, mathematical, and analytical techniques for business and commerce within South Valley University's Faculty of Commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Quantitative Methods
Target entity description: The Department of Quantitative Methods is an academic unit specializing in statistical, mathematical, and analytical techniques for business and commerce within South Valley University's Faculty of Commerce.
  • A. Department of Quantitative Methods
    The Department of Quantitative Methods is an academic unit at Istanbul University’s Faculty of Business Administration specializing in statistical, mathematical, and analytical techniques for business and management research and decision-making.
  • B. Department of Statistics
    The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
  • C. Department of Statistics
    The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
  • D. Department of Statistics
    The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • E. Department of Statistics
    The Department of Statistics is an academic unit at Yangon University of Economics that focuses on teaching and research in statistical theory and its applications to economics and related 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf24c0081909221cb7d761e882f completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe1913f01c8190917992cbcb8f0b62 completed May 8, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe19c36dcc8190a8b3565d6e9cec04 completed May 8, 2026, 5:13 p.m.
Created at: April 10, 2026, 1:30 a.m.