Triple
T9600269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Transportation Studies, UC Berkeley |
E231829
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
University of California system transportation research network
The University of California system transportation research network is a multi-campus consortium that coordinates and advances transportation research, education, and policy analysis across UC campuses.
|
E808781
|
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: University of California system transportation research network | Statement: [Institute of Transportation Studies, UC Berkeley, partOf, University of California system transportation research network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of California system transportation research network Context triple: [Institute of Transportation Studies, UC Berkeley, partOf, University of California system transportation research network]
-
A.
METRANS Transportation Consortium
METRANS Transportation Consortium is a university-based research center focused on advancing transportation policy, planning, and management through interdisciplinary research and education.
-
B.
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.
-
C.
UCLA Institute of Transportation Studies
The UCLA Institute of Transportation Studies is a leading research center focused on transportation policy, planning, and equity, housed within UCLA’s Luskin School of Public Affairs.
-
D.
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.
-
E.
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.
- 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: University of California system transportation research network Triple: [Institute of Transportation Studies, UC Berkeley, partOf, University of California system transportation research network]
Generated description
The University of California system transportation research network is a multi-campus consortium that coordinates and advances transportation research, education, and policy analysis across UC campuses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of California system transportation research network Target entity description: The University of California system transportation research network is a multi-campus consortium that coordinates and advances transportation research, education, and policy analysis across UC campuses.
-
A.
METRANS Transportation Consortium
METRANS Transportation Consortium is a university-based research center focused on advancing transportation policy, planning, and management through interdisciplinary research and education.
-
B.
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.
-
C.
UCLA Institute of Transportation Studies
The UCLA Institute of Transportation Studies is a leading research center focused on transportation policy, planning, and equity, housed within UCLA’s Luskin School of Public Affairs.
-
D.
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.
-
E.
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.
- 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.