Triple

T19530217
Position Surface form Disambiguated ID Type / Status
Subject Korean Chinese E488635 entity
Predicate alsoKnownAs P39 FINISHED
Object Joseonjok 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: Joseonjok | Statement: [Korean Chinese, alsoKnownAs, Joseonjok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseonjok
Context triple: [Korean Chinese, alsoKnownAs, Joseonjok]
  • A. Koryo-saram chosen
    Koryo-saram are ethnic Koreans primarily descended from migrants to the Russian Empire and Soviet Union, now living across Central Asia and the former Soviet states with a distinct cultural and historical identity.
  • B. Gwangandaegyo
    Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
  • C. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • D. Hwangje
    Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
  • E. Seodaejeon-yeok
    Seodaejeon-yeok is a major railway station in Daejeon, South Korea, serving regional and high-speed train services on key national lines.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363ec6cc8190b9e9ac0196b288f9 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.