Triple
T38602750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CVS-14 |
E934257
|
entity |
| Predicate | associatedShipClassRole |
—
|
GENERATED |
| Object | fleet aircraft carrier |
—
|
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: associatedShipClassRole Context triple: [CVS-14, associatedShipClassRole, fleet aircraft carrier]
-
A.
shipRoleClass
chosen
Indicates the specific functional role or classification assigned to a ship within a broader maritime or operational context.
-
B.
hasShipRole
Indicates that an entity holds or is assigned a specific role or function on a ship.
-
C.
classOnShip
Indicates that an entity holds a particular class or status aboard a ship.
-
D.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
E.
usedOnShipClass
Indicates that something (such as equipment, technology, or a system) is employed or installed on a particular class of ship.
- 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.