Triple

T1361407
Position Surface form Disambiguated ID Type / Status
Subject Harvard research institutes E29104 entity
Predicate hasMember P10 FINISHED
Object 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.
E156917 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: Harvard Center for Green Buildings and Cities | Statement: [Harvard research institutes, hasMember, Harvard Center for Green Buildings and Cities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvard Center for Green Buildings and Cities
Context triple: [Harvard research institutes, hasMember, Harvard Center for Green Buildings and 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. Rappaport Institute for Greater Boston
    The Rappaport Institute for Greater Boston is a Harvard Kennedy School research and policy center focused on improving governance and quality of life in the Greater Boston region through research, public service, and civic engagement.
  • C. Harvard Graduate School of Design
    Harvard Graduate School of Design is a leading graduate institution at Harvard University specializing in architecture, landscape architecture, urban planning, and design research.
  • D. Harvard John A. Paulson School of Engineering and Applied Sciences
    The Harvard John A. Paulson School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, known for interdisciplinary research and education at the intersection of technology, science, and society.
  • E. U.S. Green Building Council
    The U.S. Green Building Council is a nonprofit organization that promotes sustainability in building design, construction, and operation, best known for developing and overseeing the LEED green building certification system.
  • 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: Harvard Center for Green Buildings and Cities
Triple: [Harvard research institutes, hasMember, Harvard Center for Green Buildings and Cities]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harvard Center for Green Buildings and Cities
Target entity description: 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.
  • 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. Rappaport Institute for Greater Boston
    The Rappaport Institute for Greater Boston is a Harvard Kennedy School research and policy center focused on improving governance and quality of life in the Greater Boston region through research, public service, and civic engagement.
  • C. Harvard Graduate School of Design
    Harvard Graduate School of Design is a leading graduate institution at Harvard University specializing in architecture, landscape architecture, urban planning, and design research.
  • D. Harvard John A. Paulson School of Engineering and Applied Sciences
    The Harvard John A. Paulson School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, known for interdisciplinary research and education at the intersection of technology, science, and society.
  • E. U.S. Green Building Council
    The U.S. Green Building Council is a nonprofit organization that promotes sustainability in building design, construction, and operation, best known for developing and overseeing the LEED green building certification system.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7449548190917277dbc715cde4 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acd06d000481909f6d934e857236f0 completed March 8, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_69acd17b8c508190812b241d7906992b completed March 8, 2026, 1:31 a.m.
Created at: March 1, 2026, 7:57 p.m.