Triple

T2287945
Position Surface form Disambiguated ID Type / Status
Subject Eumseong County E51436 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Maengdong-myeon
Maengdong-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
E264379 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: Maengdong-myeon | Statement: [Eumseong County, hasAdministrativeDivision, Maengdong-myeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maengdong-myeon
Context triple: [Eumseong County, hasAdministrativeDivision, Maengdong-myeon]
  • A. Gamgok-myeon
    Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • B. Daeso-myeon
    Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • C. Geumwang-eup
    Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
  • D. Yangju
    Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
  • E. Miryang
    Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
  • 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: Maengdong-myeon
Triple: [Eumseong County, hasAdministrativeDivision, Maengdong-myeon]
Generated description
Maengdong-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maengdong-myeon
Target entity description: Maengdong-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • A. Gamgok-myeon
    Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • B. Daeso-myeon
    Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • C. Geumwang-eup
    Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
  • D. Yangju
    Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
  • E. Miryang
    Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2497ce881909b05eb9cec67d9e7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf214f14819098ed0edbbb2f33c0 completed March 9, 2026, 12:37 p.m.
NEDg Description generation batch_69aec28e0e38819085027240e2b3eb1b completed March 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69aec34a9a0481908c1033cb7d4b1516 completed March 9, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:48 p.m.