Triple

T18008497
Position Surface form Disambiguated ID Type / Status
Subject Daum Communications E430814 entity
Predicate competitor P1375 FINISHED
Object Yahoo! Korea 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: Yahoo! Korea | Statement: [Daum Communications, competitor, Yahoo! Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo! Korea
Context triple: [Daum Communications, competitor, Yahoo! Korea]
  • A. Yahoo! Japan Corporation
    Yahoo! Japan Corporation is a major Japanese internet company operating the Yahoo! Japan portal and a wide range of online services including search, e-commerce, and digital advertising.
  • 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. Yahoo chosen
    Yahoo is a pioneering web services company best known for its web portal, search engine, email service, and online media offerings.
  • D. Naver Corporation
    Naver Corporation is a South Korean internet technology company best known for operating the Naver search engine and various online services and platforms.
  • E. 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.
  • 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.