Triple
T32979457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet aircraft carrier Minsk |
E843755
|
entity |
| Predicate | locationAsThemePark |
—
|
GENERATED |
| Object | Shenzhen |
—
|
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: locationAsThemePark Context triple: [Soviet aircraft carrier Minsk, locationAsThemePark, Shenzhen]
-
A.
locatedInThemeParkType
Indicates that an entity is situated within or belongs to a specific type or category of theme park.
-
B.
themeParkAttractionLocation
Indicates the specific place or area within a theme park where a particular attraction is situated.
-
C.
locatedInAmusementPark
chosen
Indicates that one entity is situated within or is part of an amusement park.
-
D.
countryParkLocatedOn
Indicates that a country park is situated on or within the area of a specified geographic feature or land unit.
-
E.
themeParkPresence
Indicates that an entity is present at, located in, or associated with a theme park in the context of a given event or situation.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:22 a.m.