Triple
T32382652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marunouchi side of Tokyo Station |
E827463
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | railway station entrance area |
C34082
|
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: railway station entrance area Context triple: [Marunouchi side of Tokyo Station, instanceOf, railway station entrance area]
-
A.
railway station area
A railway station area is the surrounding zone of a train station that includes platforms, tracks, access roads, passenger facilities, and adjacent public or commercial spaces supporting rail transport activities.
-
B.
metro station entrance
chosen
A metro station entrance is a designated access point at street level that allows passengers to enter or exit an underground or elevated metro system, typically featuring stairs, escalators, elevators, signage, and fare control access.
-
C.
railway station exit
A railway station exit is a designated passage or gateway through which passengers leave the station premises to access external streets, transport links, or surrounding areas.
-
D.
train station waiting room
A train station waiting room is a designated indoor area where passengers can sit, rest, and wait comfortably and safely for their trains, often providing seating, information displays, and basic amenities.
-
E.
tram station area
A tram station area is the designated zone surrounding a tram stop that includes platforms, tracks, passenger facilities, access paths, and related infrastructure supporting tram boarding, alighting, and circulation.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:51 a.m.