Triple
T4846489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Digital Commerce Group |
E108301
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Lazada |
E108294
|
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: Lazada | Statement: [International Digital Commerce Group, associatedWith, Lazada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazada Context triple: [International Digital Commerce Group, associatedWith, Lazada]
-
A.
Lazada
chosen
Lazada is a leading Southeast Asian e-commerce platform offering a wide range of products through online marketplaces in multiple countries across the region.
-
B.
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.
-
C.
Daraz
Daraz is a leading South Asian e-commerce platform offering a wide range of products and digital services across multiple countries.
-
D.
Taobao
Taobao is a major Chinese online shopping platform known for its vast marketplace of consumer-to-consumer and business-to-consumer goods.
-
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 (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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d19784c81908e256ea23889192b |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d70dd0819094b6b2906a9d03b5 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.