Triple

T17798917
Position Surface form Disambiguated ID Type / Status
Subject I Corps (Republic of Korea) E444367 entity
Predicate garrison P75 FINISHED
Object Goyang, Gyeonggi Province, South Korea — NE NERFINISHED

How this triple was built (3 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: Goyang, Gyeonggi Province, South Korea | Statement: [I Corps (Republic of Korea), garrison, Goyang, Gyeonggi Province, South Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goyang, Gyeonggi Province, South Korea
Context triple: [I Corps (Republic of Korea), garrison, Goyang, Gyeonggi Province, South Korea]
  • A. Seongnam, Gyeonggi-do, South Korea
    Seongnam is a major satellite city southeast of Seoul in Gyeonggi Province, known as a key technology and business hub in South Korea.
  • B. Icheon, Gyeonggi-do, South Korea
    Icheon, in Gyeonggi-do, South Korea, is an industrial city best known as a major semiconductor hub and for its traditional Korean ceramics.
  • C. Gyeongsan, Gyeongsangbuk-do, South Korea
    Gyeongsan is a city in North Gyeongsang Province, South Korea, known as an educational hub with several universities and close proximity to the metropolitan city of Daegu.
  • D. Gwangju, Gyeonggi
    Gwangju, Gyeonggi is a city in South Korea known for its blend of suburban residential areas, light industry, and historical sites within the Seoul Capital Area.
  • E. Pyeongtaek, Gyeonggi Province, South Korea
    Pyeongtaek in Gyeonggi Province, South Korea, is a major port and industrial city that hosts one of the largest U.S. military installations overseas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goyang, Gyeonggi Province, South Korea
Target entity description: Goyang is a major satellite city northwest of Seoul in Gyeonggi Province, South Korea, known for its large residential districts, cultural venues, and strategic military presence.
  • A. Seongnam, Gyeonggi-do, South Korea
    Seongnam is a major satellite city southeast of Seoul in Gyeonggi Province, known as a key technology and business hub in South Korea.
  • B. Icheon, Gyeonggi-do, South Korea
    Icheon, in Gyeonggi-do, South Korea, is an industrial city best known as a major semiconductor hub and for its traditional Korean ceramics.
  • C. Gyeongsan, Gyeongsangbuk-do, South Korea
    Gyeongsan is a city in North Gyeongsang Province, South Korea, known as an educational hub with several universities and close proximity to the metropolitan city of Daegu.
  • D. Gwangju, Gyeonggi
    Gwangju, Gyeonggi is a city in South Korea known for its blend of suburban residential areas, light industry, and historical sites within the Seoul Capital Area.
  • E. Pyeongtaek, Gyeonggi Province, South Korea
    Pyeongtaek in Gyeonggi Province, South Korea, is a major port and industrial city that hosts one of the largest U.S. military installations overseas.
  • F. None of above. chosen

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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fcfdc8819086f41152860dfe18 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.