Triple

T1361421
Position Surface form Disambiguated ID Type / Status
Subject Harvard research institutes E29104 entity
Predicate hasMember P10 FINISHED
Object 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.
E157252 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 Geographic Analysis | Statement: [Harvard research institutes, hasMember, Harvard Center for Geographic Analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvard Center for Geographic Analysis
Context triple: [Harvard research institutes, hasMember, Harvard Center for Geographic Analysis]
  • A. 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.
  • B. Institute for Quantitative Social Science at Harvard University
    The Institute for Quantitative Social Science at Harvard University is a research center dedicated to advancing empirical and computational methods for the study of social and political phenomena.
  • C. Harvard Center for Population and Development Studies
    The Harvard Center for Population and Development Studies is a Harvard research center that investigates global population health, demographic change, and social determinants of health to inform policy and improve well-being worldwide.
  • D. Harvard University Center for the Environment
    The Harvard University Center for the Environment is an interdisciplinary hub at Harvard that supports research, education, and collaboration on environmental and sustainability issues.
  • E. 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.
  • 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 Geographic Analysis
Triple: [Harvard research institutes, hasMember, Harvard Center for Geographic Analysis]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harvard Center for Geographic Analysis
Target entity description: 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.
  • A. 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.
  • B. Institute for Quantitative Social Science at Harvard University
    The Institute for Quantitative Social Science at Harvard University is a research center dedicated to advancing empirical and computational methods for the study of social and political phenomena.
  • C. Harvard Center for Population and Development Studies
    The Harvard Center for Population and Development Studies is a Harvard research center that investigates global population health, demographic change, and social determinants of health to inform policy and improve well-being worldwide.
  • D. Harvard University Center for the Environment
    The Harvard University Center for the Environment is an interdisciplinary hub at Harvard that supports research, education, and collaboration on environmental and sustainability issues.
  • E. 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.
  • 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_69acd47d38388190856b4ae9de1e69d7 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd543a0ac8190b9fd5e921b5ad9ea completed March 8, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69acd5b8fa2481908fd52d94e55b6377 completed March 8, 2026, 1:49 a.m.
Created at: March 1, 2026, 7:57 p.m.