Triple
T22792083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial railway stations on the Moscow–Saint Petersburg Railway |
E564137
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | series of railway stations |
C24861
|
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: series of railway stations Context triple: [Imperial railway stations on the Moscow–Saint Petersburg Railway, instanceOf, series of railway stations]
-
A.
group of railway stations
chosen
A group of railway stations is a conceptual collection of multiple train stations considered together for purposes such as management, analysis, planning, or classification within a rail network.
-
B.
group of passenger rail terminals
A group of passenger rail terminals is a collection of interconnected or related railway stations designed for boarding, alighting, and transferring passengers within a coordinated transport network.
-
C.
group of light rail stations
A group of light rail stations is a collection of geographically or operationally related stops along a light rail transit line or network, treated as a single unit for planning, analysis, or management purposes.
-
D.
group of metro interchange stations
A group of metro interchange stations is a collection of transit hubs where multiple metro lines intersect, enabling passengers to transfer between routes within an urban rail network.
-
E.
railway network
A railway network is an interconnected system of tracks, stations, signaling, and rolling stock that enables the organized movement of trains between multiple locations.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 17, 2026, 3:30 p.m.