Triple

T14423193
Position Surface form Disambiguated ID Type / Status
Subject Naver services E357632 entity
Predicate hasComponent P35 FINISHED
Object Naver Cafe E1099179 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 Cafe | Statement: [Naver services, hasComponent, Naver Cafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naver Cafe
Context triple: [Naver services, hasComponent, Naver Cafe]
  • A. Naver Cafe chosen
    Naver Cafe is a South Korean online community platform that hosts user-created forums and interest-based groups within the Naver ecosystem.
  • B. Naver VIBE
    Naver VIBE is a South Korean music streaming service operated by Naver, offering personalized playlists, charts, and a large catalog of domestic and international songs.
  • C. Naver Place
    Naver Place is a local business and location-based service within the Naver ecosystem that lets users search for, review, and interact with nearby stores, restaurants, and other venues.
  • 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 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.
  • 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.