Triple
T8849883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunnel No. 2 |
E210610
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | New York City water tunnel |
C25193
|
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: New York City water tunnel Context triple: [Tunnel No. 2, instanceOf, New York City water tunnel]
-
A.
New York City Subway tunnel
A New York City Subway tunnel is an underground passageway engineered to safely guide subway trains, utilities, and related infrastructure beneath the city’s surface between stations.
-
B.
Hudson River bridge
A Hudson River bridge is a large transportation structure spanning the Hudson River to connect communities and facilitate the movement of vehicles, trains, pedestrians, or utilities between its banks.
-
C.
bridge in New York City
A bridge in New York City is a large-scale transportation structure spanning waterways or land to connect boroughs and neighborhoods, supporting vehicular, rail, bicycle, and pedestrian traffic within the city’s dense urban environment.
-
D.
Panama Canal infrastructure
Panama Canal infrastructure encompasses the system of locks, channels, dams, ports, support facilities, and control technologies that enable the transit, management, and maintenance of maritime traffic through the Panama Canal.
-
E.
Long Island Rail Road project
A Long Island Rail Road project is a coordinated initiative to plan, construct, upgrade, or maintain LIRR infrastructure, services, or operations to improve rail transportation for its riders and communities.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 6:49 p.m.