Triple
T10562059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transport Research Laboratory |
E249241
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | transport research organisation |
C4656
|
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: transport research organisation Context triple: [Transport Research Laboratory, instanceOf, transport research organisation]
-
A.
transportation research program
A transportation research program is an organized initiative that systematically studies and develops knowledge, technologies, and policies to improve the safety, efficiency, sustainability, and equity of transportation systems.
-
B.
transport ministry
The transport ministry is a government department responsible for planning, regulating, and overseeing a nation’s transportation systems and infrastructure, including roads, railways, air, and maritime transport.
-
C.
transportation organization
chosen
A transportation organization is an entity that plans, manages, and operates systems or services that move people or goods from one location to another.
-
D.
transport model
A transport model is a conceptual or mathematical representation used to simulate and analyze the movement of people, goods, or resources across a network or spatial system under various conditions and constraints.
-
E.
public transport information system
A public transport information system is a software platform that collects, processes, and disseminates real-time and scheduled data about public transit services to passengers, operators, and other stakeholders.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
Created at: April 6, 2026, 12:35 p.m.