Triple

T37601745
Position Surface form Disambiguated ID Type / Status
Subject SM Hypermarket E935540 entity
Predicate usesLoyaltyProgram P155797 FINISHED
Object SM Advantage Card
SM Advantage Card is a customer loyalty card in the Philippines that allows shoppers to earn points and enjoy rewards and discounts across SM retail stores and partner establishments.
 E2233886 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: SM Advantage Card | Statement: [SM Hypermarket, usesLoyaltyProgram, SM Advantage Card]
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: SM Advantage Card
Triple: [SM Hypermarket, usesLoyaltyProgram, SM Advantage Card]
Generated description
SM Advantage Card is a customer loyalty card in the Philippines that allows shoppers to earn points and enjoy rewards and discounts across SM retail stores and partner establishments.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesLoyaltyProgram
Context triple: [SM Hypermarket, usesLoyaltyProgram, SM Advantage Card]
  • A. hasLoyalties
    Indicates that an entity feels allegiance or commitment toward one or more other entities or causes.
  • B. loyaltyProgramAccess
    Indicates that an entity is granted rights or eligibility to participate in a specific loyalty or rewards program.
  • C. supportsLoyaltyCards
    Indicates that an entity provides functionality to accept, manage, or work with loyalty cards for rewards or benefits.
  • D. loyaltyIncentive
    Indicates a relationship where benefits or rewards are provided to encourage or recognize continued commitment or repeat engagement.
  • E. loyaltyProgramLinkedTo chosen
    Indicates that a loyalty program is associated or connected to a particular entity, such that benefits, points, or rewards can be tracked or applied through that relationship.
  • 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_69f76ed0a85481909254a8a89090c826 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbacaf54648190811ea33b34907e8e completed May 6, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a80687c88190abab7c749bd61479 completed June 28, 2026, 4:50 a.m.
NEDg Description generation batch_6a40a87e4c008190b9a9c54dd789dbc2 completed June 28, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_6a40a901f21c8190ad963f201863a3b0 completed June 28, 2026, 4:54 a.m.
PD Predicate disambiguation batch_69fba883f770819091059c6f6c6af9f7 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.