Triple
T19750770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alibaba Group Holding Limited |
E474364
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | AliExpress |
—
|
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: AliExpress | Statement: [Alibaba Group Holding Limited, hasBrand, AliExpress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AliExpress Context triple: [Alibaba Group Holding Limited, hasBrand, AliExpress]
-
A.
AliExpress
chosen
AliExpress is a global online retail marketplace that connects consumers worldwide with primarily Chinese manufacturers and sellers offering a wide range of low-cost products.
-
B.
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.
-
C.
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.
-
D.
Longka
Longka is the legendary island fortress city ruled by the demon king Ravana in the Hindu epic Ramayana.
-
E.
Taobao
Taobao is a major Chinese online shopping platform known for its vast marketplace of consumer-to-consumer and business-to-consumer goods.
- 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_69e65299a7048190a9b22307ac06bd03 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:48 p.m.