Triple
T7382893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotake-Mukaihara Station |
E170305
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Seibu Railway station |
C21237
|
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: Seibu Railway station Context triple: [Kotake-Mukaihara Station, instanceOf, Seibu Railway station]
-
A.
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.
-
B.
Tokyo subway station
chosen
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.
-
C.
MARC station
A MARC station is a designated passenger rail stop along the Maryland Area Regional Commuter (MARC) train network, providing boarding, alighting, and related services for regional commuters.
-
D.
Kaohsiung MRT station
A Kaohsiung MRT station is a designated public transit facility within the Kaohsiung Mass Rapid Transit system where passengers access, board, transfer between, and alight from metro trains and related services.
-
E.
AeroTrain station
An AeroTrain station is a designated facility where passengers board, disembark, and transfer between AeroTrains, providing platforms, ticketing, waiting areas, and related services for high-speed or automated airport rail transit.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
Created at: March 27, 2026, 3:08 p.m.