Triple
T168751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Transportation Authority |
E3072
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | state agency |
C1091
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: state agency Context triple: [Metropolitan Transportation Authority, instanceOf, state agency]
-
A.
state government
A state government is the political organization and administrative apparatus that exercises authority, creates and enforces laws, and provides public services within a specific subnational region of a country.
-
B.
state education agency
A state education agency is a government body responsible for overseeing, regulating, and supporting public education within a U.S. state, including setting academic standards, administering funding, and ensuring compliance with education laws.
-
C.
government agency division
A government agency division is a specialized organizational unit within a larger government agency that focuses on a specific set of functions, programs, or policy areas to support the agency’s overall mission.
-
D.
science agency
A science agency is an organization, typically governmental or intergovernmental, that funds, coordinates, and oversees scientific research and development to advance knowledge and inform policy.
-
E.
bi-state agency
chosen
A bi-state agency is a governmental or quasi-governmental organization jointly created and governed by two neighboring states to manage shared resources, infrastructure, or regulatory responsibilities across their common jurisdiction.
- F. None of above.
Provenance (1 batch)
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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.