Triple
T1543478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Business Select |
E32922
|
entity |
| Predicate | loyaltyEarningType |
P7916
|
FINISHED |
| Object | revenue‑based points earning |
—
|
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: revenue‑based points earning | Statement: [Business Select, loyaltyEarningType, revenue‑based points earning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loyaltyEarningType Context triple: [Business Select, loyaltyEarningType, revenue‑based points earning]
-
A.
loyaltyProgramEarnings
Indicates the amount or details of rewards or benefits a participant accrues within a loyalty or rewards program.
-
B.
supportsLoyaltyCards
Indicates that an entity provides functionality to accept, manage, or work with loyalty cards for rewards or benefits.
-
C.
typeOfIncentive
chosen
Indicates the specific kind or category of incentive associated with an entity or action.
-
D.
CommonwealthStarPoints
Indicates a relationship where specific points or vertices are designated as the star points of a Commonwealth star symbol.
-
E.
allianceProgram
Indicates a formal cooperative relationship or partnership established between entities under a shared alliance framework or 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.