Triple
T3641016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea Exchange |
E77186
|
entity |
| Predicate | listedCompany |
P30922
|
FINISHED |
| Object | NAVER Corporation |
E357631
|
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 Corporation | Statement: [Korea Exchange, listedCompany, NAVER Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAVER Corporation Context triple: [Korea Exchange, listedCompany, NAVER Corporation]
-
A.
Naver Corporation
chosen
Naver Corporation is a South Korean internet technology company best known for operating the Naver search engine and various online services and platforms.
-
B.
Naver Whale
Naver Whale is a web browser developed by South Korean company Naver, known for its integrated productivity features and support for web apps and extensions.
-
C.
LG Corporation
LG Corporation is a major South Korean multinational conglomerate with diversified businesses spanning electronics, chemicals, and telecommunications.
-
D.
SoftBank Group
SoftBank Group is a Japanese multinational conglomerate holding company best known for its large-scale technology investments and telecommunications businesses.
-
E.
DeNA
DeNA is a Japanese mobile portal and e-commerce company best known for its mobile gaming platforms and ownership of various entertainment and sports businesses.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc357c3308190bd8801d68244a53e |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f2a8a5c8190b84dcf4b4b8a939e |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.