Triple
T24678560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Tabor station |
E611060
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | railway station in Chile |
C564
|
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 in Chile Context triple: [Monte Tabor station, instanceOf, railway station in Chile]
-
A.
railway station in Peru
A railway station in Peru is a designated facility where trains stop to load and unload passengers or freight, serving as a node in the country's rail transport network.
-
B.
railway station in China
A railway station in China is a transportation hub where passengers board, alight, and transfer between trains within the country's extensive rail network, often integrating ticketing, waiting areas, and connections to other local transit systems.
-
C.
train station
chosen
A train station is a designated facility where trains regularly stop to pick up and drop off passengers and sometimes freight, typically featuring platforms, ticketing services, and waiting areas.
-
D.
Lima Metro station
A Lima Metro station is a designated stop along the Lima Metro rapid transit system where passengers can board, alight, and transfer between metro services and other modes of urban transportation.
-
E.
railway station in Puerto Rico
A railway station in Puerto Rico is a designated facility along a rail line within Puerto Rican territory where trains stop to allow passengers to board or alight and, in some cases, to handle freight operations.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
Created at: April 18, 2026, 3:07 a.m.