Triple

T8512799
Position Surface form Disambiguated ID Type / Status
Subject Nam District, Busan E201498 entity
Predicate locatedInRegion 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: [Nam District, Busan, locatedInRegion, Yeongnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeongnam
Context triple: [Nam District, Busan, locatedInRegion, 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. 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.
  • D. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • E. Anseongcheon
    Anseongcheon is a river in South Korea that flows through the city of Pyeongtaek in Gyeonggi Province.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8411e148190a700dae3d3ebd716 completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:15 p.m.