Triple
T35494265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Britain (2070) |
E1025811
|
entity |
| Predicate | associatedShipbuilder |
—
|
GENERATED |
| Object | John Brown & Company, Clydebank |
—
|
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: associatedShipbuilder Context triple: [SS Empress of Britain (2070), associatedShipbuilder, John Brown & Company, Clydebank]
-
A.
associatedWithShipbuilder
chosen
Indicates a relationship where an entity is connected or linked in some relevant capacity to a shipbuilder.
-
B.
shipbuilder
Indicates that one entity is the builder or constructor of a ship associated with another entity.
-
C.
hasShipyardIn
Indicates that an entity operates or possesses a shipyard located in a specified place.
-
D.
shipbuilderType
Indicates the specific kind or category of shipbuilder associated with an entity (e.g., by role, specialization, or organizational type).
-
E.
shipyardFormerName
Indicates that a shipyard previously operated under a different name, specifying what that former name was.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.