Triple

T19770296
Position Surface form Disambiguated ID Type / Status
Subject Twin Cities Premium Outlets E474865 entity
Predicate discountModel P100188 FINISHED
Object outlet 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: outlet pricing | Statement: [Twin Cities Premium Outlets, discountModel, outlet pricing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discountModel
Context triple: [Twin Cities Premium Outlets, discountModel, outlet pricing]
  • A. discountRate
    Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
  • B. discountMechanism chosen
    Indicates a relationship where one entity defines the method, rule, or process by which a discount is calculated, applied, or granted to another entity.
  • C. fareDiscount
    Indicates that a reduced price is applied to a standard fare for a product or service.
  • D. supportsDiscounts
    Indicates that an entity provides or is compatible with special price reductions or promotional discounts.
  • E. couponFloor
    Indicates the minimum coupon rate or value applicable in a financial or discount arrangement, below which the coupon cannot fall.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ab298819085263dc37cc898cb completed April 20, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e53053ed2881908400becdfada7fd3 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:48 p.m.