Triple
T37811734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Shipbuilding Company |
E942662
|
entity |
| Predicate | typeOfShipBuilt |
—
|
GENERATED |
| Object | destroyer escort |
—
|
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: typeOfShipBuilt Context triple: [Brown Shipbuilding Company, typeOfShipBuilt, destroyer escort]
-
A.
shipTypeProduced
chosen
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
B.
shipbuilderType
Indicates the specific kind or category of shipbuilder associated with an entity (e.g., by role, specialization, or organizational type).
-
C.
originalShipType
Indicates the type or category of ship that an entity was originally classified or built as.
-
D.
shipbuilder
Indicates that one entity is the builder or constructor of a ship associated with another entity.
-
E.
shipClass
Indicates the classification or type category to which a particular ship belongs.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.