Triple
T6373161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesars Rewards |
E143398
|
entity |
| Predicate | tierBasis |
P7476
|
FINISHED |
| Object | reward credits earned |
—
|
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: reward credits earned | Statement: [Caesars Rewards, tierBasis, reward credits earned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierBasis Context triple: [Caesars Rewards, tierBasis, reward credits earned]
-
A.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
B.
rankingBasis
chosen
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
-
C.
tier1Range
Indicates that something falls within the defined bounds or limits of the first (or primary) tier in a tiered range system.
-
D.
tier2Range
Indicates that the value or entity falls within the defined second-level (tier 2) range of a multi-tiered scale or classification.
-
E.
partOfTier
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
- 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_69c068390af08190967a3d25ec9a50e5 |
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.