Triple

T18631292
Position Surface form Disambiguated ID Type / Status
Subject North Jeolla Province E455422 entity
Predicate hasCity P316 FINISHED
Object Namwon
Namwon is a historic city in southwestern South Korea, famed for its association with the classic love story "Chunhyangjeon" and its traditional cultural heritage.
 E1334922 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: Namwon | Statement: [North Jeolla Province, hasCity, Namwon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Namwon
Context triple: [North Jeolla Province, hasCity, Namwon]
  • A. Mahwa
    Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
  • B. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • C. Minyong
    Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • D. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • 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: Namwon
Triple: [North Jeolla Province, hasCity, Namwon]
Generated description
Namwon is a historic city in southwestern South Korea, famed for its association with the classic love story "Chunhyangjeon" and its traditional cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Namwon
Target entity description: Namwon is a historic city in southwestern South Korea, famed for its association with the classic love story "Chunhyangjeon" and its traditional cultural heritage.
  • A. Mahwa
    Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
  • B. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • C. Minyong
    Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • D. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc4c5648190b771e9b080e98c15 completed April 19, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d7e812c8190ab055062a4479474 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050fd68c8c8190a34253dd79090280 completed May 13, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_6a05108fdea081909fd0a1ccdeaeb704 completed May 14, 2026, midnight
Created at: April 10, 2026, 11:46 a.m.