Triple

T3420361
Position Surface form Disambiguated ID Type / Status
Subject Naver Whale E72100 entity
Predicate developer P73 FINISHED
Object Naver 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 | Statement: [Naver Whale, developer, Naver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naver
Context triple: [Naver Whale, developer, 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 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.
  • E. Cốc Cốc
    Cốc Cốc is a Vietnamese web browser and search engine tailored to local users, offering features like improved downloading, integrated ad-blocking, and support for Vietnamese language and services.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94eb9e8819087a525df4550914b completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c285688190a264fcb4ab271b82 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.