Triple

T32510590
Position Surface form Disambiguated ID Type / Status
Subject Target pharmacy and clinic businesses E830918 entity
Predicate offeredLoyaltyProgram P178 FINISHED
Object Target pharmacy rewards (prior to acquisition)
Target pharmacy rewards (prior to acquisition) was a customer loyalty program that provided incentives and discounts to shoppers who regularly filled prescriptions and used pharmacy services at Target stores.
 E2009389 NE FINISHED

How this triple was built (3 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: Target pharmacy rewards (prior to acquisition) | Statement: [Target pharmacy and clinic businesses, offeredLoyaltyProgram, Target pharmacy rewards (prior to acquisition)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Target pharmacy rewards (prior to acquisition)
Triple: [Target pharmacy and clinic businesses, offeredLoyaltyProgram, Target pharmacy rewards (prior to acquisition)]
Generated description
Target pharmacy rewards (prior to acquisition) was a customer loyalty program that provided incentives and discounts to shoppers who regularly filled prescriptions and used pharmacy services at Target stores.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: offeredLoyaltyProgram
Context triple: [Target pharmacy and clinic businesses, offeredLoyaltyProgram, Target pharmacy rewards (prior to acquisition)]
  • A. loyaltyProgramType
    Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
  • B. offersProgram chosen
    Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
  • C. loyaltyCurrencyProgram
    Indicates a relationship where an entity participates in or is associated with a loyalty or rewards currency program that tracks and grants benefits based on activity or purchases.
  • D. hasLoyalties
    Indicates that an entity feels allegiance or commitment toward one or more other entities or causes.
  • 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 (6 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd76d1e5208190a6f26651492d1e3c completed May 8, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3470626c6c8190acd20484c4f9c6a1 completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a34710734988190a0a6880097a6a639 completed June 18, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a3471d84d708190bd56542c6f09ba30 completed June 18, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69fd702a226c81908edfda00f4be4130 completed May 8, 2026, 5:10 a.m.
Created at: May 1, 2026, 1 a.m.