Triple

T20258031
Position Surface form Disambiguated ID Type / Status
Subject South Chungcheong Province E498754 entity
Predicate hasMajorCity P316 FINISHED
Object Gongju E1429770 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: Gongju | Statement: [South Chungcheong Province, hasMajorCity, Gongju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gongju
Context triple: [South Chungcheong Province, hasMajorCity, Gongju]
  • A. Gongju chosen
    Gongju is a historic city in South Korea that once served as the capital of the ancient Baekje Kingdom and is renowned for its rich archaeological heritage.
  • B. Yeongju
    Yeongju is a city in eastern South Korea known for its historic temples, Confucian academies, and scenic mountainous landscapes.
  • C. Gyeongju
    Gyeongju is a historic city in South Korea famed for its rich cultural heritage and numerous archaeological sites from the ancient Silla Kingdom.
  • D. Gimhae
    Gimhae is a city in South Gyeongsang Province, South Korea, known for its historical significance as the birthplace of the ancient Gaya confederacy and its proximity to the metropolitan city of Busan.
  • E. Gwangmyeong
    Gwangmyeong is a city in South Korea known for its proximity to Seoul and attractions like the Gwangmyeong Cave, a former mine turned cultural and tourism complex.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c7296c819092860942de8f28d5 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a54cefe08190a3b7eb2bada9adad completed May 16, 2026, 5:11 p.m.
Created at: April 11, 2026, 11:41 p.m.