Triple
T2078758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Civil and Environmental Engineering, UC Berkeley |
E44989
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Institute of Transportation Studies, UC Berkeley
The Institute of Transportation Studies at UC Berkeley is a leading interdisciplinary research and education center focused on advancing transportation systems, policy, and technology.
|
E231829
|
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: Institute of Transportation Studies, UC Berkeley | Statement: [Department of Civil and Environmental Engineering, UC Berkeley, collaboratesWith, Institute of Transportation Studies, UC Berkeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institute of Transportation Studies, UC Berkeley Context triple: [Department of Civil and Environmental Engineering, UC Berkeley, collaboratesWith, Institute of Transportation Studies, UC Berkeley]
-
A.
Texas A&M Transportation Institute
The Texas A&M Transportation Institute is a leading research agency specializing in transportation systems, safety, and infrastructure innovation.
-
B.
Transportation Research and Analysis Computing Center
The Transportation Research and Analysis Computing Center is a high-performance computing facility dedicated to advanced modeling, simulation, and analysis of transportation systems and technologies.
-
C.
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.
-
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.
National Transportation Research Center
The National Transportation Research Center is a U.S. Department of Energy facility focused on advanced transportation technologies, including vehicle efficiency, emissions reduction, and sustainable mobility systems.
- 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: Institute of Transportation Studies, UC Berkeley Triple: [Department of Civil and Environmental Engineering, UC Berkeley, collaboratesWith, Institute of Transportation Studies, UC Berkeley]
Generated description
The Institute of Transportation Studies at UC Berkeley is a leading interdisciplinary research and education center focused on advancing transportation systems, policy, and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institute of Transportation Studies, UC Berkeley Target entity description: The Institute of Transportation Studies at UC Berkeley is a leading interdisciplinary research and education center focused on advancing transportation systems, policy, and technology.
-
A.
Texas A&M Transportation Institute
The Texas A&M Transportation Institute is a leading research agency specializing in transportation systems, safety, and infrastructure innovation.
-
B.
Transportation Research and Analysis Computing Center
The Transportation Research and Analysis Computing Center is a high-performance computing facility dedicated to advanced modeling, simulation, and analysis of transportation systems and technologies.
-
C.
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.
-
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.
National Transportation Research Center
The National Transportation Research Center is a U.S. Department of Energy facility focused on advanced transportation technologies, including vehicle efficiency, emissions reduction, and sustainable mobility systems.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba31eef8819081cf7f5334b59fe1 |
completed | March 7, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae27379d6c819088e01920aae0981a |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae28daeae88190bdb07375ab246981 |
completed | March 9, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae294b3d0081909ceabda14c6bcf5e |
completed | March 9, 2026, 1:58 a.m. |
Created at: March 4, 2026, 7:41 p.m.