Triple
T9815368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Metro Yotsubashi Line |
E238389
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subway line in Japan |
C641
|
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: subway line in Japan Context triple: [Osaka Metro Yotsubashi Line, instanceOf, subway line in Japan]
-
A.
Tokyo subway station
A Tokyo subway station is an underground or partially above-ground transit facility in Tokyo that serves as a node for multiple subway lines, providing passenger access, ticketing, and platform areas within a dense urban rail network.
-
B.
subway line
chosen
A subway line is a fixed route within an urban rail transit system, consisting of a sequence of stations and tracks over which trains operate according to a scheduled service.
-
C.
metro train
A metro train is an electrically powered, multi-car rail vehicle designed to transport large numbers of passengers quickly and frequently along dedicated urban and suburban transit lines.
-
D.
mini-shinkansen line
A mini-shinkansen line is a converted narrow-gauge railway upgraded to standard gauge and high-speed standards, allowing Shinkansen trains to run directly onto conventional lines while maintaining through-service with the main high-speed network.
-
E.
Tobu Railway station
A Tobu Railway station is a passenger rail facility operated by the private Japanese company Tobu Railway, serving as a stop for its regional and commuter train services.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:30 p.m.