Triple

T15858333
Position Surface form Disambiguated ID Type / Status
Subject Gyeryong E384517 entity
Predicate hasKoreanName P17869 FINISHED
Object 계룡시
계룡시는 대한민국 충청남도에 위치한 군사 도시로, 국방부와 합동참모본부 등이 있는 계룡대가 자리한 곳이다.
 E1185774 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: 계룡시 | Statement: [Gyeryong, hasKoreanName, 계룡시]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 계룡시
Context triple: [Gyeryong, hasKoreanName, 계룡시]
  • A. 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.
  • B. Icheon
    Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
  • C. Namyangju
    Namyangju is a city in South Korea known for its scenic natural landscapes, historical sites, and role as a suburban area within the Seoul metropolitan region.
  • D. 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.
  • E. Sangil
    Sangil are an indigenous Moro ethnolinguistic group of the southern Philippines and nearby Indonesian islands, known for their seafaring traditions and Islamic faith.
  • 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: 계룡시
Triple: [Gyeryong, hasKoreanName, 계룡시]
Generated description
계룡시는 대한민국 충청남도에 위치한 군사 도시로, 국방부와 합동참모본부 등이 있는 계룡대가 자리한 곳이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 계룡시
Target entity description: 계룡시는 대한민국 충청남도에 위치한 군사 도시로, 국방부와 합동참모본부 등이 있는 계룡대가 자리한 곳이다.
  • A. 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.
  • B. Icheon
    Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
  • C. Namyangju
    Namyangju is a city in South Korea known for its scenic natural landscapes, historical sites, and role as a suburban area within the Seoul metropolitan region.
  • D. 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.
  • E. Sangil
    Sangil are an indigenous Moro ethnolinguistic group of the southern Philippines and nearby Indonesian islands, known for their seafaring traditions and Islamic faith.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555956ec8190b13602a177e7a2bb completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe69332c81909aa57e64de163cbe completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:50 a.m.