Triple
T10545741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Secretary of Transportation |
E248811
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Office of the Chief Economist of the Department of Transportation
The Office of the Chief Economist of the Department of Transportation is a policy and analysis unit that provides economic expertise, impact assessments, and data-driven guidance to support national transportation decision-making.
|
E869992
|
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: Office of the Chief Economist of the Department of Transportation | Statement: [Office of the Secretary of Transportation, hasPart, Office of the Chief Economist of the Department of Transportation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office of the Chief Economist of the Department of Transportation Context triple: [Office of the Secretary of Transportation, hasPart, Office of the Chief Economist of the Department of Transportation]
-
A.
Office of the Deputy Secretary of Transportation
The Office of the Deputy Secretary of Transportation is the senior executive office within the U.S. Department of Transportation that supports and coordinates the department’s policies, programs, and daily operations under the leadership of the Deputy Secretary.
-
B.
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.
-
C.
Office of the Secretary of Transportation
The Office of the Secretary of Transportation is the top-level leadership and policy-making body of the U.S. Department of Transportation, overseeing its various administrations and offices.
-
D.
Office of Transportation Policy
The Office of Transportation Policy is a U.S. State Department unit that develops and coordinates international transportation policy to support American economic and strategic interests.
-
E.
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.
- 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: Office of the Chief Economist of the Department of Transportation Triple: [Office of the Secretary of Transportation, hasPart, Office of the Chief Economist of the Department of Transportation]
Generated description
The Office of the Chief Economist of the Department of Transportation is a policy and analysis unit that provides economic expertise, impact assessments, and data-driven guidance to support national transportation decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Office of the Chief Economist of the Department of Transportation Target entity description: The Office of the Chief Economist of the Department of Transportation is a policy and analysis unit that provides economic expertise, impact assessments, and data-driven guidance to support national transportation decision-making.
-
A.
Office of the Deputy Secretary of Transportation
The Office of the Deputy Secretary of Transportation is the senior executive office within the U.S. Department of Transportation that supports and coordinates the department’s policies, programs, and daily operations under the leadership of the Deputy Secretary.
-
B.
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.
-
C.
Office of the Secretary of Transportation
The Office of the Secretary of Transportation is the top-level leadership and policy-making body of the U.S. Department of Transportation, overseeing its various administrations and offices.
-
D.
Office of Transportation Policy
The Office of Transportation Policy is a U.S. State Department unit that develops and coordinates international transportation policy to support American economic and strategic interests.
-
E.
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.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5191345ac81909bc404ba9574ce4c |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9344a53fc81909765061d07d0cd20 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:33 p.m.