Triple
T3838467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Agency of Transportation |
E93392
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Policy and Planning Division of the Vermont Agency of Transportation
The Policy and Planning Division of the Vermont Agency of Transportation is the unit responsible for developing transportation policies, long-range planning, and data-driven strategies to guide Vermont’s statewide transportation system.
|
E93392
|
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: Policy and Planning Division of the Vermont Agency of Transportation | Statement: [Vermont Agency of Transportation, hasDivision, Policy and Planning Division of the Vermont Agency of Transportation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Policy and Planning Division of the Vermont Agency of Transportation Context triple: [Vermont Agency of Transportation, hasDivision, Policy and Planning Division of the Vermont Agency of Transportation]
-
A.
Vermont Agency of Transportation
The Vermont Agency of Transportation is the state government department responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation facilities.
-
B.
Planning, Programming and Modal Division of the Iowa Department of Transportation
The Planning, Programming and Modal Division of the Iowa Department of Transportation is the branch responsible for statewide transportation planning, project programming, and coordination of various transportation modes across Iowa.
-
C.
Department of Transport Planning
The Department of Transport Planning is an academic unit at the School of Planning and Architecture, Delhi, focused on education and research in transportation systems, planning, and policy.
-
D.
New Hampshire Department of Transportation
The New Hampshire Department of Transportation is the state agency responsible for planning, building, and maintaining New Hampshire’s transportation infrastructure, including highways, bridges, and related facilities.
-
E.
Department of Transport and Planning (Victoria)
The Department of Transport and Planning (Victoria) is the Victorian state government agency responsible for overseeing transport networks, infrastructure, and land-use planning across the state of Victoria, Australia.
- 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: Policy and Planning Division of the Vermont Agency of Transportation Triple: [Vermont Agency of Transportation, hasDivision, Policy and Planning Division of the Vermont Agency of Transportation]
Generated description
The Policy and Planning Division of the Vermont Agency of Transportation is the unit responsible for developing transportation policies, long-range planning, and data-driven strategies to guide Vermont’s statewide transportation system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Policy and Planning Division of the Vermont Agency of Transportation Target entity description: The Policy and Planning Division of the Vermont Agency of Transportation is the unit responsible for developing transportation policies, long-range planning, and data-driven strategies to guide Vermont’s statewide transportation system.
-
A.
Vermont Agency of Transportation
chosen
The Vermont Agency of Transportation is the state government department responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation facilities.
-
B.
Planning, Programming and Modal Division of the Iowa Department of Transportation
The Planning, Programming and Modal Division of the Iowa Department of Transportation is the branch responsible for statewide transportation planning, project programming, and coordination of various transportation modes across Iowa.
-
C.
Department of Transport Planning
The Department of Transport Planning is an academic unit at the School of Planning and Architecture, Delhi, focused on education and research in transportation systems, planning, and policy.
-
D.
New Hampshire Department of Transportation
The New Hampshire Department of Transportation is the state agency responsible for planning, building, and maintaining New Hampshire’s transportation infrastructure, including highways, bridges, and related facilities.
-
E.
Department of Transport and Planning (Victoria)
The Department of Transport and Planning (Victoria) is the Victorian state government agency responsible for overseeing transport networks, infrastructure, and land-use planning across the state of Victoria, Australia.
- F. None of above.
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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeb9d11f081909fc51e84657ec7f1 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040835dc81909ecf5053128f1cc7 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507cfee048190a41ad30f4ceaf6c8 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50857e9ec8190bb03f13c4573b779 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.