Triple
T9600259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Transportation Studies, UC Berkeley |
E231829
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Technology Transfer Program
The Technology Transfer Program is a UC Berkeley initiative that provides training, technical assistance, and resources to help transportation professionals and agencies improve the safety, efficiency, and sustainability of transportation systems.
|
E808780
|
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: Technology Transfer Program | Statement: [Institute of Transportation Studies, UC Berkeley, hasPart, Technology Transfer Program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Technology Transfer Program Context triple: [Institute of Transportation Studies, UC Berkeley, hasPart, Technology Transfer Program]
-
A.
Small Business Technology Transfer program
The Small Business Technology Transfer program is a U.S. federal initiative that funds collaborative research and development projects between small businesses and nonprofit research institutions to help commercialize innovative technologies.
-
B.
Technology Advancement Program
The Technology Advancement Program is an environmental innovation initiative by the Port of Long Beach that funds and tests emerging technologies to reduce air emissions and improve sustainability in port operations.
-
C.
Science and Technology Program
The Science and Technology Program is a division of the U.S. Department of Agriculture’s Agricultural Marketing Service that provides scientific, analytical, and technical services to support agricultural product quality, safety, and marketing.
-
D.
Small Business Innovation Research program
The Small Business Innovation Research program is a U.S. government initiative that provides competitive funding to small businesses for research and development with strong commercialization potential.
-
E.
Centers of Innovation program
The Centers of Innovation program is a Georgia state initiative that provides industry-focused research, technical expertise, and business support to help companies innovate and grow in key economic sectors.
- 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: Technology Transfer Program Triple: [Institute of Transportation Studies, UC Berkeley, hasPart, Technology Transfer Program]
Generated description
The Technology Transfer Program is a UC Berkeley initiative that provides training, technical assistance, and resources to help transportation professionals and agencies improve the safety, efficiency, and sustainability of transportation systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Technology Transfer Program Target entity description: The Technology Transfer Program is a UC Berkeley initiative that provides training, technical assistance, and resources to help transportation professionals and agencies improve the safety, efficiency, and sustainability of transportation systems.
-
A.
Small Business Technology Transfer program
The Small Business Technology Transfer program is a U.S. federal initiative that funds collaborative research and development projects between small businesses and nonprofit research institutions to help commercialize innovative technologies.
-
B.
Technology Advancement Program
The Technology Advancement Program is an environmental innovation initiative by the Port of Long Beach that funds and tests emerging technologies to reduce air emissions and improve sustainability in port operations.
-
C.
Science and Technology Program
The Science and Technology Program is a division of the U.S. Department of Agriculture’s Agricultural Marketing Service that provides scientific, analytical, and technical services to support agricultural product quality, safety, and marketing.
-
D.
Small Business Innovation Research program
The Small Business Innovation Research program is a U.S. government initiative that provides competitive funding to small businesses for research and development with strong commercialization potential.
-
E.
Centers of Innovation program
The Centers of Innovation program is a Georgia state initiative that provides industry-focused research, technical expertise, and business support to help companies innovate and grow in key economic sectors.
- 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.