Triple
T19295930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tmall Supermarket |
E482561
|
entity |
| Predicate | paymentMethod |
P5428
|
FINISHED |
| Object | Alipay |
—
|
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: Alipay | Statement: [Tmall Supermarket, paymentMethod, Alipay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alipay Context triple: [Tmall Supermarket, paymentMethod, Alipay]
-
A.
Alipay (through Ant Group)
chosen
Alipay (through Ant Group) is a leading Chinese digital payment and financial services platform widely used for online and mobile transactions, money transfers, and everyday financial management.
-
B.
Iipay
Iipay is an alternate name for the Ipai people, a Native American group indigenous to southern California and northern Baja California.
-
C.
Paypay
Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
-
D.
MobilePay
MobilePay is a popular Nordic mobile payment app that allows users to send and receive money, pay in stores and online, and manage everyday transactions via their smartphones.
-
E.
UnionPay
UnionPay is a Chinese state-backed financial services corporation best known for operating one of the world’s largest bank card and payment networks.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8533c08190822a917ffa32812d |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.