Triple
T14423190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naver services |
E357632
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Naver News |
E1099181
|
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 News | Statement: [Naver services, hasComponent, Naver News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naver News Context triple: [Naver services, hasComponent, Naver News]
-
A.
Naver News
chosen
Naver News is a major South Korean online news aggregation and portal service integrated into the Naver platform, providing curated articles from numerous domestic and international media outlets.
-
B.
Naver TV
Naver TV is a South Korean online video platform operated by Naver, offering streaming of TV clips, web shows, and original digital content.
-
C.
Naver Knowledge iN
Naver Knowledge iN is a South Korean community-driven Q&A platform where users ask questions and receive answers from other users and experts.
-
D.
Naver Sports
Naver Sports is a South Korean online sports portal operated by Naver that provides live scores, news, statistics, and multimedia coverage across a wide range of sports.
-
E.
Korean Wikinews
Korean Wikinews is the Korean-language edition of the Wikinews project, offering collaboratively written, free-content news articles in Korean.
- 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.