Triple
T34800789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Cardiff |
E1003212
|
entity |
| Predicate | hasPrimaryRailTerminusInLondon |
—
|
GENERATED |
| Object | London Paddington station |
—
|
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: hasPrimaryRailTerminusInLondon Context triple: [London–Cardiff, hasPrimaryRailTerminusInLondon, London Paddington station]
-
A.
hasLondonUndergroundStation
Indicates that a place or area contains at least one London Underground (Tube) station within its boundaries.
-
B.
primaryLondonTerminal
chosen
Indicates that a given station serves as the main London terminal for a particular rail service or route.
-
C.
hasTerminusInCentralLondon
Indicates that the route, service, or line ends at a terminal point located within Central London.
-
D.
hasRailTerminusInManchester
Indicates that something has its rail terminus (end point of a railway line or service) located in Manchester.
-
E.
originalLondonTerminusLocation
Indicates the location of an entity’s original terminus station in London.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.