Triple
T9600257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Transportation Studies, UC Berkeley |
E231829
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Safe Transportation Research and Education Center
The Safe Transportation Research and Education Center is a UC Berkeley-based program focused on improving traffic safety through research, education, and policy analysis.
|
E808778
|
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: Safe Transportation Research and Education Center | Statement: [Institute of Transportation Studies, UC Berkeley, hasPart, Safe Transportation Research and Education Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safe Transportation Research and Education Center Context triple: [Institute of Transportation Studies, UC Berkeley, hasPart, Safe Transportation Research and Education Center]
-
A.
Roadway, Transportation and Traffic Safety Research Center
The Roadway, Transportation and Traffic Safety Research Center is a specialized research institute focused on improving road infrastructure, transportation systems, and traffic safety through scientific studies and applied 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.
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.
-
D.
transportation and traffic laboratory
The transportation and traffic laboratory is a research and educational facility at the University of Tehran’s School of Civil Engineering focused on studying and improving transportation systems, traffic flow, and related infrastructure.
-
E.
Centre for Collaboration with Transport Sector
The Centre for Collaboration with Transport Sector is a specialized unit within the Norwegian Institute of Public Health that focuses on coordinating research and initiatives related to health and safety in the transport sector.
- 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: Safe Transportation Research and Education Center Triple: [Institute of Transportation Studies, UC Berkeley, hasPart, Safe Transportation Research and Education Center]
Generated description
The Safe Transportation Research and Education Center is a UC Berkeley-based program focused on improving traffic safety through research, education, and policy analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safe Transportation Research and Education Center Target entity description: The Safe Transportation Research and Education Center is a UC Berkeley-based program focused on improving traffic safety through research, education, and policy analysis.
-
A.
Roadway, Transportation and Traffic Safety Research Center
The Roadway, Transportation and Traffic Safety Research Center is a specialized research institute focused on improving road infrastructure, transportation systems, and traffic safety through scientific studies and applied 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.
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.
-
D.
transportation and traffic laboratory
The transportation and traffic laboratory is a research and educational facility at the University of Tehran’s School of Civil Engineering focused on studying and improving transportation systems, traffic flow, and related infrastructure.
-
E.
Centre for Collaboration with Transport Sector
The Centre for Collaboration with Transport Sector is a specialized unit within the Norwegian Institute of Public Health that focuses on coordinating research and initiatives related to health and safety in the transport sector.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3934d481908400a63335d644bd |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161a4a7ac81909060a929e5489512 |
completed | April 4, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69d16387182c8190bd2115dbffb31d5c |
completed | April 4, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 8:07 p.m.