Triple
T38152997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunica-Biloxi Tribe of Louisiana |
E952805
|
entity |
| Predicate | operatesCasino |
—
|
GENERATED |
| Object | Paragon Casino Resort |
—
|
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: operatesCasino Context triple: [Tunica-Biloxi Tribe of Louisiana, operatesCasino, Paragon Casino Resort]
-
A.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
B.
operatedGame
Indicates that an entity has operated, controlled, or run a particular game.
-
C.
hasSlotMachines
Indicates that an entity contains, offers, or is equipped with one or more slot machines.
-
D.
associatedWithCasino
chosen
Indicates a relationship where an entity has a connection or involvement with a casino, such as through ownership, operation, affiliation, or regular activity.
-
E.
casinoWebsite
Indicates that one entity is a website whose primary function is to offer casino-related gambling or betting services to users.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.