Triple

T16467122
Position Surface form Disambiguated ID Type / Status
Subject Geoje Island E399961 entity
Predicate region P40 FINISHED
Object Yeongnam E740413 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: Yeongnam | Statement: [Geoje Island, region, Yeongnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeongnam
Context triple: [Geoje Island, region, Yeongnam]
  • A. Yeongnam chosen
    Yeongnam is a southeastern region of South Korea that includes major cities like Busan and Daegu and is known for its industrial centers and rich cultural heritage.
  • B. Gyeongbuk
    Gyeongbuk is a province in eastern South Korea known for its historical sites, cultural heritage, and scenic rural landscapes.
  • C. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • D. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • E. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcd707081908fb7ca91a8c09e0a completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5914dc81908c3b8cf999ee76a1 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.