Triple

T4846124
Position Surface form Disambiguated ID Type / Status
Subject AliExpress E108293 entity
Predicate hasBusinessModelCharacteristic P59753 FINISHED
Object low product prices 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: low product prices | Statement: [AliExpress, hasBusinessModelCharacteristic, low product prices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusinessModelCharacteristic
Context triple: [AliExpress, hasBusinessModelCharacteristic, low product prices]
  • A. hasEconomyCharacteristic
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • B. usesBusinessModel
    Indicates that one entity operates according to, or applies in practice, the business model defined or provided by another entity.
  • C. hasBusinessTypeAlong
    Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
  • D. hasBusinessNode
    Indicates that an entity is associated with, linked to, or represented by a specific business-related node within a business structure or network.
  • E. hasUnderlyingCompanyBusinessModel
    Indicates that one entity possesses or is based on a specific company business model that underlies its structure, operations, or value creation.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e01872c81909607010c10538ad1 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2375a4819098e16acb982c8fab completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6dfff1488190a32bbb615bfab970 completed March 20, 2026, 3:55 p.m.
Created at: March 20, 2026, 1:25 p.m.