Triple
T37984725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Trumper Stand |
E947654
|
entity |
| Predicate | associatedWithVenueOwner |
—
|
GENERATED |
| Object | Sydney Cricket Ground Trust |
—
|
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: associatedWithVenueOwner Context triple: [Victor Trumper Stand, associatedWithVenueOwner, Sydney Cricket Ground Trust]
-
A.
hasVenueOwner
Indicates that a particular venue is owned or controlled by a specific owner.
-
B.
associatedWithVenueFeature
Indicates that an entity has a relationship or connection to a specific feature or characteristic of a venue.
-
C.
associatedWithVenueSecondaryUse
Indicates that an entity has a secondary or supplementary association with a particular venue, beyond its primary or main use.
-
D.
venueOwner
chosen
Indicates that one entity is the owner or proprietor responsible for a particular venue or event location.
-
E.
hasPrincipalVenue
Indicates that an entity has a primary or main venue where its activities, events, or operations predominantly take place.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.