Triple

T19750659
Position Surface form Disambiguated ID Type / Status
Subject Trendyol E474362 entity
Predicate hasDivision P35 FINISHED
Object Trendyol Go E474362 NE 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: Trendyol Go | Statement: [Trendyol, hasDivision, Trendyol Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trendyol Go
Context triple: [Trendyol, hasDivision, Trendyol Go]
  • A. Trendyol chosen
    Trendyol is a leading Turkey-based e-commerce and technology platform known for online retail, marketplace services, and rapid delivery across a wide range of consumer products.
  • B. GoMart
    GoMart is Gojek’s on-demand grocery and daily essentials delivery service available through the Gojek super app.
  • C. Taobao
    Taobao is a major Chinese online shopping platform known for its vast marketplace of consumer-to-consumer and business-to-consumer goods.
  • D. Daraz
    Daraz is a leading South Asian e-commerce platform offering a wide range of products and digital services across multiple countries.
  • E. Shopee
    Shopee is a major Southeast Asian e-commerce platform known for its mobile-first marketplace, wide range of products, and integrated digital payment and logistics services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529875688190952af476aa5be492 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4ef0658819097f37fc0a30a4ece completed May 16, 2026, 1:14 a.m.
Created at: April 10, 2026, 1:48 p.m.