Triple
T35209136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Below Deck Sailing Yacht |
E1016620
|
entity |
| Predicate | featuresVesselType |
—
|
GENERATED |
| Object | sailing yacht |
—
|
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: featuresVesselType Context triple: [Below Deck Sailing Yacht, featuresVesselType, sailing yacht]
-
A.
featuresVessel
Indicates that one entity includes, presents, or prominently displays a particular vessel as part of its composition, content, or configuration.
-
B.
hasVesselType
chosen
Indicates that an entity is associated with or classified by a specific type of vessel (e.g., ship, boat, or container).
-
C.
vesselTypeServedOn
Indicates the type of vessel on which an entity has served or performed duty.
-
D.
usesVesselType
Indicates that an entity performs an activity or operation by employing a specific type or category of vessel.
-
E.
sponsoredVesselType
Indicates that one entity has provided sponsorship or financial backing specifically for a vessel of a given type.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.