Triple
T6373091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesars Entertainment, Inc. |
E143396
|
entity |
| Predicate | hasLoyaltyProgramFeature |
P35524
|
FINISHED |
| Object | tiered membership levels |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: tiered membership levels | Statement: [Caesars Entertainment, Inc., hasLoyaltyProgramFeature, tiered membership levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoyaltyProgramFeature Context triple: [Caesars Entertainment, Inc., hasLoyaltyProgramFeature, tiered membership levels]
-
A.
hasMembershipProgram
Indicates that an entity offers or participates in a structured membership program, typically providing special access, benefits, or services to enrolled members.
-
B.
loyaltyProgramType
chosen
Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
-
C.
hasAwardProgram
Indicates that an entity maintains or offers a formal award or recognition program.
-
D.
supportsLoyaltyCards
Indicates that an entity provides functionality to accept, manage, or work with loyalty cards for rewards or benefits.
-
E.
loyaltyProgramName
Indicates that an entity is associated with or identified by the name of a specific loyalty or rewards program.
- F. None of above.
Provenance (3 batches)
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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06829d76c819092b476631459233a |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:33 p.m.