Triple
T12947173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Tunnel No. 3 |
E309799
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | New York City water infrastructure |
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 infrastructure Context triple: [City Tunnel No. 3, instanceOf, New York City water infrastructure]
-
A.
New York City water supply reservoir
A New York City water supply reservoir is a man-made or controlled natural water body, often located upstate, that stores and regulates freshwater collected from protected watershed areas for delivery to the city’s drinking water system.
-
B.
New York City water tunnel
chosen
A New York City water tunnel is a large underground aqueduct system that transports potable water from upstate reservoirs to the city’s distribution network.
-
C.
New York City Subway infrastructure project
A New York City Subway infrastructure project is a coordinated planning, construction, and modernization effort aimed at building, upgrading, or maintaining the physical and technological systems that support subway service across the city.
-
D.
water infrastructure
Water infrastructure encompasses the systems, facilities, and networks designed to source, treat, store, distribute, and manage water and wastewater for human, industrial, and environmental needs.
-
E.
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.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
Created at: April 9, 2026, 5:43 p.m.