Triple
T7677923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Department of Transportation |
E173911
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bureau of Transportation Planning of the Michigan Department of Transportation
The Bureau of Transportation Planning of the Michigan Department of Transportation is the division responsible for statewide transportation planning, policy development, and long-range system analysis for Michigan’s transportation network.
|
E680765
|
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: Bureau of Transportation Planning of the Michigan Department of Transportation | Statement: [Michigan Department of Transportation, hasPart, Bureau of Transportation Planning of the Michigan Department of Transportation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bureau of Transportation Planning of the Michigan Department of Transportation Context triple: [Michigan Department of Transportation, hasPart, Bureau of Transportation Planning of the Michigan Department of Transportation]
-
A.
Bureau of Transportation Planning and Modal Programs
The Bureau of Transportation Planning and Modal Programs is a division of Alabama’s state transportation agency responsible for long-range transportation planning and overseeing various travel modes such as transit, rail, and other non-highway programs.
-
B.
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.
-
C.
Multimodal Planning Division
The Multimodal Planning Division is a unit within the Arizona Department of Transportation responsible for planning and coordinating transportation systems across multiple modes such as highways, transit, rail, bicycle, and pedestrian facilities.
-
D.
Transportation planning division
The Transportation Planning Division is a unit within the Missouri Department of Transportation responsible for developing and coordinating long-range transportation plans, policies, and programs across the state.
-
E.
Office of Transportation Analysis
The Office of Transportation Analysis is a division within the U.S. Bureau of Transportation Statistics that conducts data-driven research and analysis to inform transportation policy and planning.
- 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: Bureau of Transportation Planning of the Michigan Department of Transportation Triple: [Michigan Department of Transportation, hasPart, Bureau of Transportation Planning of the Michigan Department of Transportation]
Generated description
The Bureau of Transportation Planning of the Michigan Department of Transportation is the division responsible for statewide transportation planning, policy development, and long-range system analysis for Michigan’s transportation network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bureau of Transportation Planning of the Michigan Department of Transportation Target entity description: The Bureau of Transportation Planning of the Michigan Department of Transportation is the division responsible for statewide transportation planning, policy development, and long-range system analysis for Michigan’s transportation network.
-
A.
Bureau of Transportation Planning and Modal Programs
The Bureau of Transportation Planning and Modal Programs is a division of Alabama’s state transportation agency responsible for long-range transportation planning and overseeing various travel modes such as transit, rail, and other non-highway programs.
-
B.
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.
-
C.
Multimodal Planning Division
The Multimodal Planning Division is a unit within the Arizona Department of Transportation responsible for planning and coordinating transportation systems across multiple modes such as highways, transit, rail, bicycle, and pedestrian facilities.
-
D.
Transportation planning division
The Transportation Planning Division is a unit within the Missouri Department of Transportation responsible for developing and coordinating long-range transportation plans, policies, and programs across the state.
-
E.
Office of Transportation Analysis
The Office of Transportation Analysis is a division within the U.S. Bureau of Transportation Statistics that conducts data-driven research and analysis to inform transportation policy and planning.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fd18d88190888144a7d0f228d9 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a240057081908826a5371ef5215b |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a2d073b08190a056e23cfdf13983 |
completed | March 29, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a37fabe481908c7da8a5d71a3f1c |
completed | March 29, 2026, 3:58 a.m. |
Created at: March 27, 2026, 4:01 p.m.