Triple

T18008496
Position Surface form Disambiguated ID Type / Status
Subject Daum Communications E430814 entity
Predicate competitor P1375 FINISHED
Object Naver NE NERFINISHED

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 | Statement: [Daum Communications, competitor, Naver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naver
Context triple: [Daum Communications, competitor, Naver]
  • A. 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.
  • B. 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.
  • C. Naver services
    Naver services are a suite of online platforms and tools offered by South Korean tech company Naver, including search, email, news, maps, and various digital content and productivity services.
  • D. 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.
  • E. Naver Mail
    Naver Mail is a web-based email service provided by South Korean internet company Naver, offering features like large storage, spam filtering, and integration with other Naver services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51e13788190bebbbdd7340e0982 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.