Triple
T38160951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serco Docklands |
E953016
|
entity |
| Predicate | operatedRailwaySystem |
—
|
GENERATED |
| Object | automated light metro |
—
|
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: operatedRailwaySystem Context triple: [Serco Docklands, operatedRailwaySystem, automated light metro]
-
A.
transitSystemTypeOperated
chosen
Indicates the type of transit system that an operator runs or manages.
-
B.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
C.
operatedOnRailroad
Indicates that an entity conducted operations or provided services on a railroad system.
-
D.
railwaySystemServed
Indicates that a railway system provides service to, or operates within, a specified location or area.
-
E.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.