Triple

T14423218
Position Surface form Disambiguated ID Type / Status
Subject Naver services E357632 entity
Predicate hasComponent P35 FINISHED
Object LINE messenger E697175 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: LINE messenger | Statement: [Naver services, hasComponent, LINE messenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LINE messenger
Context triple: [Naver services, hasComponent, LINE messenger]
  • A. LINE chosen
    LINE is a popular Japanese messaging and social media platform that offers free calls, chats, stickers, and various integrated services across mobile and desktop devices.
  • B. Business Line
    Business Line is an Indian business and financial daily newspaper known for its coverage of markets, economy, and corporate affairs.
  • C. BlackBerry Messenger
    BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
  • D. Messenger
    Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • E. Messenger
    Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
  • 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_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.