Triple

T22295981
Position Surface form Disambiguated ID Type / Status
Subject Gangwon Province E551121 entity
Predicate contains P35 FINISHED
Object Samcheok
Samcheok is a coastal city in eastern South Korea known for its scenic beaches, limestone caves, and maritime culture.
 E1546012 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: Samcheok | Statement: [Gangwon Province, contains, Samcheok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samcheok
Context triple: [Gangwon Province, contains, Samcheok]
  • A. Sangju
    Sangju is a city in southeastern South Korea known historically for agriculture, particularly rice and dried persimmons, and for its role as a regional transport hub.
  • B. Wonju
    Wonju is a city in South Korea’s Gangwon Province known historically as a strategic military site and today as a regional commercial and transportation hub.
  • C. Yeongcheon
    Yeongcheon is a city in southeastern South Korea known for its agricultural production and historical sites within North Gyeongsang Province.
  • D. Jeongeup
    Jeongeup is a city in South Korea known for its location in North Jeolla Province and its cultural and historical heritage.
  • 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. 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: Samcheok
Triple: [Gangwon Province, contains, Samcheok]
Generated description
Samcheok is a coastal city in eastern South Korea known for its scenic beaches, limestone caves, and maritime culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samcheok
Target entity description: Samcheok is a coastal city in eastern South Korea known for its scenic beaches, limestone caves, and maritime culture.
  • A. Sangju
    Sangju is a city in southeastern South Korea known historically for agriculture, particularly rice and dried persimmons, and for its role as a regional transport hub.
  • B. Wonju
    Wonju is a city in South Korea’s Gangwon Province known historically as a strategic military site and today as a regional commercial and transportation hub.
  • C. Yeongcheon
    Yeongcheon is a city in southeastern South Korea known for its agricultural production and historical sites within North Gyeongsang Province.
  • D. Jeongeup
    Jeongeup is a city in South Korea known for its location in North Jeolla Province and its cultural and historical heritage.
  • 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. 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1571fe76c8190a40b3679802a5475 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4de54f348190812bbe2364888a8d completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b4ea10a448190a7a27e5877f09eb0 completed May 18, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4f39aa288190ac8e5c885cebf06b completed May 18, 2026, 5:41 p.m.
Created at: April 16, 2026, 8:41 p.m.