Triple
T21507400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reports on the relation of transportation to industrial concentration |
E530630
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | transportation study |
C28802
|
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: transportation study Context triple: [Reports on the relation of transportation to industrial concentration, instanceOf, transportation study]
-
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 sector
The transport sector encompasses all systems, services, and infrastructure involved in moving people and goods by road, rail, air, and water.
-
C.
transportation index
A transportation index is a composite measure that tracks the performance, activity, or cost trends of the transportation sector (such as shipping, rail, air, and trucking) over time.
-
D.
transportation statistics report
chosen
A transportation statistics report is a structured document that compiles, analyzes, and presents quantitative data on transportation systems, usage patterns, performance, and trends to support planning, policy-making, and evaluation.
-
E.
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.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:24 p.m.