Triple
T33867431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington/Dearborn |
E868095
|
entity |
| Predicate | locatedInTunnelUnder |
—
|
GENERATED |
| Object | Dearborn Street Subway |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTunnelUnder Context triple: [Washington/Dearborn, locatedInTunnelUnder, Dearborn Street Subway]
-
A.
isInTunnelSystem
chosen
Indicates that one entity is located within or forms part of a tunnel system associated with another entity.
-
B.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
C.
tunnelLocation
Indicates that one entity is the location or site where a tunnel is situated or passes through in relation to another entity.
-
D.
hasUndergroundDepth
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
E.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.