Triple

T8177181
Position Surface form Disambiguated ID Type / Status
Subject ITX-Saemaeul E190965 entity
Predicate primaryRoute P6298 FINISHED
Object Seoul–Jinju
Seoul–Jinju is a major intercity rail corridor in South Korea connecting the capital, Seoul, with the southern city of Jinju.
 E736930 NE FINISHED

How this triple was built (4 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: Seoul–Jinju | Statement: [ITX-Saemaeul, primaryRoute, Seoul–Jinju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seoul–Jinju
Context triple: [ITX-Saemaeul, primaryRoute, Seoul–Jinju]
  • A. Seoul–Busan
    Seoul–Busan refers to the major intercity corridor in South Korea connecting the capital Seoul with the southeastern port city of Busan, one of the country’s busiest and most important travel routes.
  • B. Jincheon
    Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
  • C. Dangjin
    Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
  • D. Icheon
    Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
  • E. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Seoul–Jinju
Triple: [ITX-Saemaeul, primaryRoute, Seoul–Jinju]
Generated description
Seoul–Jinju is a major intercity rail corridor in South Korea connecting the capital, Seoul, with the southern city of Jinju.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seoul–Jinju
Target entity description: Seoul–Jinju is a major intercity rail corridor in South Korea connecting the capital, Seoul, with the southern city of Jinju.
  • A. Seoul–Busan
    Seoul–Busan refers to the major intercity corridor in South Korea connecting the capital Seoul with the southeastern port city of Busan, one of the country’s busiest and most important travel routes.
  • B. Jincheon
    Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
  • C. Dangjin
    Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
  • D. Icheon
    Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
  • E. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • F. None of above. chosen

Provenance (5 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4aba0dd88190828080d0d89612eb completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce390e811481909e7620b15bd81e93 completed April 2, 2026, 9:38 a.m.
NEDg Description generation batch_69ce3ad9a3a88190929a6c6ae7ee58cf completed April 2, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ce3cc54d888190ae86b787afc38f7b completed April 2, 2026, 9:54 a.m.
Created at: March 30, 2026, 5:40 p.m.