Triple
T3739574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coupang |
E79665
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Coupang Eats |
E383947
|
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: Coupang Eats | Statement: [Coupang, hasSubsidiary, Coupang Eats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coupang Eats Context triple: [Coupang, hasSubsidiary, Coupang Eats]
-
A.
Coupang Eats
chosen
Coupang Eats is a South Korean food delivery platform operated by e-commerce giant Coupang, offering on-demand meal ordering from local restaurants.
-
B.
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.
-
C.
Foodpanda
Foodpanda is an online food and grocery delivery platform operating across multiple countries, connecting customers with restaurants and shops via its app and website.
-
D.
ShopeeFood
ShopeeFood is an online food delivery platform operated by Shopee that connects users with restaurants and couriers through its mobile app and website.
-
E.
GrabFood
GrabFood is a Southeast Asian on-demand food delivery service integrated into the Grab super app, connecting users with restaurants and couriers for meal orders and delivery.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4fce13c8190bedd5c2afe93567c |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:34 p.m.