Triple
T38203056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertz Arena, LLC |
E1009120
|
entity |
| Predicate | associatedVenueNameSponsor |
—
|
GENERATED |
| Object | The Hertz Corporation |
—
|
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: associatedVenueNameSponsor Context triple: [Hertz Arena, LLC, associatedVenueNameSponsor, The Hertz Corporation]
-
A.
venueAssociatedWith
Indicates that there is a relevant connection or linkage between an event, activity, or entity and a particular venue or location.
-
B.
sponsorshipName
chosen
Indicates the name or title associated with a sponsorship relationship between entities.
-
C.
venueAlsoKnownAs
Indicates that a venue has an alternative name or alias by which it is also known.
-
D.
hasVenueName
Indicates that an entity has a specific name used to identify the venue where an event or activity takes place.
-
E.
connectsToEventVenue
Indicates that one entity serves as a link or route providing access or connection to an event venue.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.