Triple
T38602748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CVS-14 |
E934257
|
entity |
| Predicate | associatedShipNation |
—
|
GENERATED |
| Object | United States |
—
|
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: associatedShipNation Context triple: [CVS-14, associatedShipNation, United States]
-
A.
nationalityOfVessels
chosen
Indicates the country or flag state to which vessels legally belong or are registered.
-
B.
shipyardCountry
Indicates the country in which a given shipyard is located or to which it belongs.
-
C.
shipAssociatedWith
Indicates that there is a relevant connection or involvement between a ship and another entity, such as ownership, operation, registration, or functional association.
-
D.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
E.
navalAffiliation
Indicates a formal relationship in which an entity is associated with, belongs to, or operates under a particular navy or naval force.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.