Triple

T6688094
Position Surface form Disambiguated ID Type / Status
Subject Daejeon Station E152149 entity
Predicate RomanizedName P2508 FINISHED
Object Daejeon-yeok
Daejeon-yeok is the romanized Korean name for Daejeon Station, a major railway hub in the city of Daejeon, South Korea.
E628283 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: Daejeon-yeok | Statement: [Daejeon Station, RomanizedName, Daejeon-yeok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daejeon-yeok
Context triple: [Daejeon Station, RomanizedName, Daejeon-yeok]
  • A. Seodaejeon-yeok
    Seodaejeon-yeok is a major railway station in Daejeon, South Korea, serving regional and high-speed train services on key national lines.
  • B. Jeongjeon
    Jeongjeon is the principal ceremonial hall of Seoul’s Jongmyo Shrine, where ancestral tablets of Joseon Dynasty kings and queens are enshrined and Confucian rites are performed.
  • C. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • D. 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.
  • E. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • 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: Daejeon-yeok
Triple: [Daejeon Station, RomanizedName, Daejeon-yeok]
Generated description
Daejeon-yeok is the romanized Korean name for Daejeon Station, a major railway hub in the city of Daejeon, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daejeon-yeok
Target entity description: Daejeon-yeok is the romanized Korean name for Daejeon Station, a major railway hub in the city of Daejeon, South Korea.
  • A. Seodaejeon-yeok
    Seodaejeon-yeok is a major railway station in Daejeon, South Korea, serving regional and high-speed train services on key national lines.
  • B. Jeongjeon
    Jeongjeon is the principal ceremonial hall of Seoul’s Jongmyo Shrine, where ancestral tablets of Joseon Dynasty kings and queens are enshrined and Confucian rites are performed.
  • C. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • D. 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.
  • E. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14feb28819097bc157df8a2f96e completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751088fc08190abc2eacfb95867f3 completed March 28, 2026, 3:54 a.m.
NEDg Description generation batch_69c751cf1ad081909052e68b8eb96889 completed March 28, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c7524fd1988190b82ed3a6c5f338a5 completed March 28, 2026, 4 a.m.
Created at: March 27, 2026, 2:04 p.m.