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.