Triple
T14423196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naver services |
E357632
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Naver Pay |
E1099176
|
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: Naver Pay | Statement: [Naver services, hasComponent, Naver Pay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naver Pay Context triple: [Naver services, hasComponent, Naver Pay]
-
A.
Naver Pay
chosen
Naver Pay is a South Korean digital payment and fintech service that enables users to make online and mobile transactions within Naver’s ecosystem and at affiliated merchants.
-
B.
GoPay
GoPay is a leading Indonesian digital wallet and payment platform that enables users to make cashless transactions for online and offline services, including ride-hailing, food delivery, and bill payments.
-
C.
Samsung Pay
Samsung Pay is a mobile payment and digital wallet service by Samsung that lets users make secure contactless payments using compatible Samsung devices.
-
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.
Coupang
Coupang is a South Korean e-commerce company often called the “Amazon of Korea,” known for its ultra-fast delivery service and dominant online retail platform.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91102c3c81908f571a1fff3bdd47 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648784048190a9c7e95bfeec8b23 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:18 a.m.