Triple

T7195255
Position Surface form Disambiguated ID Type / Status
Subject Honam region E168598 entity
Predicate traditionalName P17611 FINISHED
Object Honam
Honam is a southwestern region of South Korea known for its rich agricultural land, distinct cultural traditions, and major cities like Gwangju and Jeonju.
 E667946 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: Honam | Statement: [Honam region, traditionalName, Honam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honam
Context triple: [Honam region, traditionalName, Honam]
  • A. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • B. Hongseong
    Hongseong is a town in South Korea that serves as the administrative capital of South Chungcheong Province.
  • C. Yeoju
    Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
  • 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. Mokpo
    Mokpo is a coastal city in South Jeolla Province, South Korea, known as a regional transportation hub and gateway to numerous nearby islands.
  • 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: Honam
Triple: [Honam region, traditionalName, Honam]
Generated description
Honam is a southwestern region of South Korea known for its rich agricultural land, distinct cultural traditions, and major cities like Gwangju and Jeonju.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Honam
Target entity description: Honam is a southwestern region of South Korea known for its rich agricultural land, distinct cultural traditions, and major cities like Gwangju and Jeonju.
  • A. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • B. Hongseong
    Hongseong is a town in South Korea that serves as the administrative capital of South Chungcheong Province.
  • C. Yeoju
    Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
  • 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. Mokpo
    Mokpo is a coastal city in South Jeolla Province, South Korea, known as a regional transportation hub and gateway to numerous nearby islands.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e927709c81909edf6ee42fe7f833 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c4097d88190b00a8c64ce6871e5 completed March 28, 2026, 8:38 p.m.
NEDg Description generation batch_69c83dc79fd88190ad3be8d613a6918b completed March 28, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69c83e9189e4819093a8fe97895e2f9f completed March 28, 2026, 8:48 p.m.
Created at: March 27, 2026, 2:51 p.m.