Triple
T15554197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muni Metro lines |
E370826
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | light rail transit network |
C912
|
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: light rail transit network Context triple: [Muni Metro lines, instanceOf, light rail transit network]
-
A.
light rail transit line
A light rail transit line is a fixed-route urban or suburban rail corridor using electrically powered, relatively low-capacity trains that operate on dedicated or semi-exclusive tracks to provide frequent, short- to medium-distance passenger service.
-
B.
rapid transit network
A rapid transit network is an integrated system of high-capacity, high-frequency urban rail or bus lines designed to move large numbers of passengers quickly and efficiently across a metropolitan area.
-
C.
light rail vehicle
A light rail vehicle is a rail-based transit vehicle designed for urban and suburban passenger service, typically operating on dedicated or shared tracks with frequent stops and moderate capacity.
-
D.
rail transit
chosen
Rail transit is a public transportation system that moves passengers or freight along fixed steel tracks using trains, subways, trams, or light rail vehicles, typically in urban or intercity corridors.
-
E.
light rail expansion project
A light rail expansion project is a coordinated planning, design, and construction effort to extend an existing light rail transit system’s routes, capacity, and supporting infrastructure to serve additional areas and riders.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 4:09 a.m.