Triple

T7457915
Position Surface form Disambiguated ID Type / Status
Subject College of Design (Georgia Institute of Technology) E172172 entity
Predicate hasAcademicUnit P1488 FINISHED
Object School of City and Regional Planning (Georgia Tech)
The School of City and Regional Planning at Georgia Tech is an academic unit specializing in urban and regional planning education and research within the university’s College of Design.
E665849 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: School of City and Regional Planning (Georgia Tech) | Statement: [College of Design (Georgia Institute of Technology), hasAcademicUnit, School of City and Regional Planning (Georgia Tech)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of City and Regional Planning (Georgia Tech)
Context triple: [College of Design (Georgia Institute of Technology), hasAcademicUnit, School of City and Regional Planning (Georgia Tech)]
  • A. College of Urban Planning
    The College of Urban Planning is an academic faculty at Al-Mustansiriya University specializing in the study and design of urban environments, spatial planning, and sustainable city development.
  • B. School of Urban Planning
    The School of Urban Planning is an academic unit at McGill University specializing in the study and training of professionals in urban and regional planning.
  • C. Department of City and Regional Planning
    The Department of City and Regional Planning is an academic unit focused on the theory and practice of urban and regional planning, including land use, transportation, housing, and community development.
  • D. Department of Urban Studies and Planning at MIT
    The Department of Urban Studies and Planning at MIT is a leading academic department dedicated to research and education in city planning, urban policy, and design, known for its interdisciplinary approach to addressing complex urban challenges worldwide.
  • E. Department of Urban and Regional Planning
    The Department of Urban and Regional Planning is an academic unit specializing in the study and practice of planning, designing, and managing urban and regional spaces, typically offering professional education and research in sustainable development and spatial planning.
  • 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: School of City and Regional Planning (Georgia Tech)
Triple: [College of Design (Georgia Institute of Technology), hasAcademicUnit, School of City and Regional Planning (Georgia Tech)]
Generated description
The School of City and Regional Planning at Georgia Tech is an academic unit specializing in urban and regional planning education and research within the university’s College of Design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of City and Regional Planning (Georgia Tech)
Target entity description: The School of City and Regional Planning at Georgia Tech is an academic unit specializing in urban and regional planning education and research within the university’s College of Design.
  • A. College of Urban Planning
    The College of Urban Planning is an academic faculty at Al-Mustansiriya University specializing in the study and design of urban environments, spatial planning, and sustainable city development.
  • B. School of Urban Planning
    The School of Urban Planning is an academic unit at McGill University specializing in the study and training of professionals in urban and regional planning.
  • C. Department of City and Regional Planning
    The Department of City and Regional Planning is an academic unit focused on the theory and practice of urban and regional planning, including land use, transportation, housing, and community development.
  • D. Department of Urban Studies and Planning at MIT
    The Department of Urban Studies and Planning at MIT is a leading academic department dedicated to research and education in city planning, urban policy, and design, known for its interdisciplinary approach to addressing complex urban challenges worldwide.
  • E. Department of Urban and Regional Planning
    The Department of Urban and Regional Planning is an academic unit specializing in the study and practice of planning, designing, and managing urban and regional spaces, typically offering professional education and research in sustainable development and spatial planning.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b1f18881908140a6191d5478b5 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c73ce081909e31e272c8a752b6 completed March 28, 2026, 7:11 p.m.
NEDg Description generation batch_69c82bd3fe8c819098afb0d51e69383b completed March 28, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69c82c2437d08190a1b4cf44cd51df03 completed March 28, 2026, 7:29 p.m.
Created at: March 27, 2026, 3:15 p.m.