Triple

T1511206
Position Surface form Disambiguated ID Type / Status
Subject MIT School of Architecture and Planning E32016 entity
Predicate hasAcademicUnit P1488 FINISHED
Object MIT Center for Advanced Urbanism
The MIT Center for Advanced Urbanism is a research hub at the Massachusetts Institute of Technology dedicated to innovative, interdisciplinary approaches to urban design, planning, and policy for contemporary cities.
E174129 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: MIT Center for Advanced Urbanism | Statement: [MIT School of Architecture and Planning, hasAcademicUnit, MIT Center for Advanced Urbanism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIT Center for Advanced Urbanism
Context triple: [MIT School of Architecture and Planning, hasAcademicUnit, MIT Center for Advanced Urbanism]
  • A. MIT School of Architecture and Planning
    The MIT School of Architecture and Planning is a leading academic division of the Massachusetts Institute of Technology known for pioneering research and education in architecture, urbanism, design, media, and technology.
  • B. 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.
  • C. Harvard Center for Green Buildings and Cities
    The Harvard Center for Green Buildings and Cities is a research center at Harvard University dedicated to advancing sustainable, energy-efficient building design and urban development through interdisciplinary research and innovation.
  • D. Mansueto Institute for Urban Innovation
    The Mansueto Institute for Urban Innovation is a University of Chicago research hub dedicated to advancing data-driven, interdisciplinary solutions to complex urban challenges worldwide.
  • E. Harvard Center for Geographic Analysis
    The Harvard Center for Geographic Analysis is a research hub at Harvard University that advances the use of geographic information systems (GIS) and spatial analysis across disciplines.
  • 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: MIT Center for Advanced Urbanism
Triple: [MIT School of Architecture and Planning, hasAcademicUnit, MIT Center for Advanced Urbanism]
Generated description
The MIT Center for Advanced Urbanism is a research hub at the Massachusetts Institute of Technology dedicated to innovative, interdisciplinary approaches to urban design, planning, and policy for contemporary cities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MIT Center for Advanced Urbanism
Target entity description: The MIT Center for Advanced Urbanism is a research hub at the Massachusetts Institute of Technology dedicated to innovative, interdisciplinary approaches to urban design, planning, and policy for contemporary cities.
  • A. MIT School of Architecture and Planning
    The MIT School of Architecture and Planning is a leading academic division of the Massachusetts Institute of Technology known for pioneering research and education in architecture, urbanism, design, media, and technology.
  • B. 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.
  • C. Harvard Center for Green Buildings and Cities
    The Harvard Center for Green Buildings and Cities is a research center at Harvard University dedicated to advancing sustainable, energy-efficient building design and urban development through interdisciplinary research and innovation.
  • D. Mansueto Institute for Urban Innovation
    The Mansueto Institute for Urban Innovation is a University of Chicago research hub dedicated to advancing data-driven, interdisciplinary solutions to complex urban challenges worldwide.
  • E. Harvard Center for Geographic Analysis
    The Harvard Center for Geographic Analysis is a research hub at Harvard University that advances the use of geographic information systems (GIS) and spatial analysis across disciplines.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61db41c88190a2d97cc9cbbc3f06 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294805308190ada3ed69ec71ce43 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a1742d48190a82c1fc8c81d5c21 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a9e50888190bab83785f11135ea completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.