Triple
T14624622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airport Metro |
E343313
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Chennai Metro station |
C35147
|
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: Chennai Metro station Context triple: [Airport Metro, instanceOf, Chennai Metro station]
-
A.
Hyderabad Metro station
A Hyderabad Metro station is a designated transit facility within the Hyderabad Metro rail network that enables passengers to board, alight, and transfer between metro services and other modes of transportation.
-
B.
Namma Metro station
A Namma Metro station is a designated transit facility along Bengaluru’s Namma Metro network where passengers access, board, and alight metro trains, integrating ticketing, platforms, and related commuter services.
-
C.
Kolkata Metro station
A Kolkata Metro station is a designated transit facility along the Kolkata Metro network that provides platforms, ticketing, passenger amenities, and access points for boarding and alighting metro trains within the city and its suburbs.
-
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.
BTS Skytrain station
A BTS Skytrain station is an elevated or at-grade rail stop on Bangkok’s rapid transit system where passengers board, alight, and transfer between Skytrain lines and other transport modes.
- F. None of above. chosen
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:26 a.m.