Triple
T14423154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naver Corporation |
E357631
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Naver Blog
Naver Blog is a popular South Korean blogging platform integrated into the Naver portal, allowing users to create and share personal and professional content online.
|
E1099178
|
NE FINISHED |
How this triple was built (4 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 Blog | Statement: [Naver Corporation, operates, Naver Blog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naver Blog Context triple: [Naver Corporation, operates, Naver Blog]
-
A.
Naver Calendar
Naver Calendar is a scheduling and time-management service by Naver that lets users create, organize, and sync events across devices and other Naver services.
-
B.
Korean Wikipedia
Korean Wikipedia is the Korean-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
C.
.kr
.kr is the country code top-level domain (ccTLD) designated for websites associated with South Korea.
-
D.
Korean Wikivoyage
Korean Wikivoyage is the Korean-language edition of Wikivoyage, a collaboratively written, free online travel guide.
-
E.
Korean Wikiversity
Korean Wikiversity is the Korean-language edition of Wikiversity, a Wikimedia Foundation project focused on free educational resources and collaborative learning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naver Blog Triple: [Naver Corporation, operates, Naver Blog]
Generated description
Naver Blog is a popular South Korean blogging platform integrated into the Naver portal, allowing users to create and share personal and professional content online.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naver Blog Target entity description: Naver Blog is a popular South Korean blogging platform integrated into the Naver portal, allowing users to create and share personal and professional content online.
-
A.
Naver Calendar
Naver Calendar is a scheduling and time-management service by Naver that lets users create, organize, and sync events across devices and other Naver services.
-
B.
Korean Wikipedia
Korean Wikipedia is the Korean-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
C.
.kr
.kr is the country code top-level domain (ccTLD) designated for websites associated with South Korea.
-
D.
Korean Wikivoyage
Korean Wikivoyage is the Korean-language edition of Wikivoyage, a collaboratively written, free online travel guide.
-
E.
Korean Wikiversity
Korean Wikiversity is the Korean-language edition of Wikiversity, a Wikimedia Foundation project focused on free educational resources and collaborative learning.
- F. None of above. chosen
Provenance (5 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_69fd5bcd2a908190ad7d5ebf11b41551 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d585cc08190908bc5f9b8abdb82 |
completed | May 8, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e0bbd6c8190b14039b3335692c7 |
completed | May 8, 2026, 3:52 a.m. |
Created at: April 10, 2026, 1:18 a.m.