Triple
T7346844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ShopeeFood |
E169400
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Shopee |
E474343
|
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: Shopee | Statement: [ShopeeFood, brandOwner, Shopee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shopee Context triple: [ShopeeFood, brandOwner, Shopee]
-
A.
Shopee
chosen
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.
-
B.
Lazada
Lazada is a leading Southeast Asian e-commerce platform offering a wide range of products through online marketplaces in multiple countries across the region.
-
C.
ShopeePay
ShopeePay is a digital wallet and mobile payment service integrated into the Shopee e-commerce platform, enabling users to make online and offline payments, transfers, and top-ups across Southeast Asia.
-
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.
ShopeeFood
ShopeeFood is an online food delivery platform operated by Shopee that connects users with restaurants and couriers through its mobile app and website.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:05 p.m.