Triple

T26425516
Position Surface form Disambiguated ID Type / Status
Subject Target Circle E664359 entity
Predicate rewardTiming P160745 FINISHED
Object rewards applied on qualifying purchases 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: rewards applied on qualifying purchases | Statement: [Target Circle, rewardTiming, rewards applied on qualifying purchases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rewardTiming
Context triple: [Target Circle, rewardTiming, rewards applied on qualifying purchases]
  • A. rewardSignal
    Indicates that one entity provides a signal representing feedback or incentive (such as a reward or penalty) to guide another entity’s behavior or learning process.
  • B. rewardUnit
    Indicates that one entity serves as the unit or measure in which a reward is quantified or granted to another entity.
  • C. rewardForCompletion
    Indicates that something is given as a benefit or compensation in return for successfully completing a task, activity, or objective.
  • D. rewardMechanism
    Indicates a relationship where an entity provides or defines a system of incentives or compensation in response to certain actions, behaviors, or outcomes.
  • E. achievementTiming
    Indicates the temporal relationship specifying when an achievement occurs or is attained relative to other events or a reference time.
  • F. None of above. chosen

Provenance (4 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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f611ba09848190bee2d2ba78a0d84b completed May 2, 2026, 3:01 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
PDg Predicate description generation batch_69f604120e848190b516c29b781d19cc completed May 2, 2026, 2:02 p.m.
Created at: April 26, 2026, 11:45 p.m.