Triple
T19750657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trendyol |
E474362
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Trendyol Tech |
—
|
NE NERFINISHED |
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 Tech | Statement: [Trendyol, hasDivision, Trendyol Tech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trendyol Tech Context triple: [Trendyol, hasDivision, Trendyol Tech]
-
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.
Daraz
Daraz is a leading South Asian e-commerce platform offering a wide range of products and digital services across multiple countries.
-
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.
Temu
Temu is an ancient Egyptian creator god, a form of the sun god Atum associated with the setting sun and the completion of creation.
-
E.
Alibaba.com
Alibaba.com is a leading global online business-to-business (B2B) marketplace that connects suppliers, primarily manufacturers and wholesalers, with buyers around the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 1:48 p.m.