Triple
T13233651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatra T1 |
E315084
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tramcar |
C9233
|
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: tramcar Context triple: [Tatra T1, instanceOf, tramcar]
-
A.
tramcar type
chosen
A tramcar type is a classification of tram vehicles based on shared design, capacity, and operational characteristics used in urban rail transit systems.
-
B.
tram line
A tram line is a designated route, typically with fixed tracks and stops, along which trams operate to provide urban or suburban public transportation.
-
C.
tram depot
A tram depot is a specialized facility where trams are stored, maintained, and dispatched for service on a city's tram network.
-
D.
tram station
A tram station is a designated stopping place along a tram line where passengers can safely board, alight, and sometimes transfer between tram services.
-
E.
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.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:22 p.m.