Triple

T1543517
Position Surface form Disambiguated ID Type / Status
Subject Rapid Rewards E32923 entity
Predicate awardPricingModel P8244 FINISHED
Object revenue-based pricing 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 pricing | Statement: [Rapid Rewards, awardPricingModel, revenue-based pricing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardPricingModel
Context triple: [Rapid Rewards, awardPricingModel, revenue-based pricing]
  • A. pricingStrategy chosen
    Indicates the approach or method used to set, adjust, or structure prices for products or services in a given context.
  • B. awardCriteria
    Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
  • C. offersGrade
    Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
  • D. awardIncludes
    Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
  • E. positionAwarded
    Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
  • 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.