Triple

T19899838
Position Surface form Disambiguated ID Type / Status
Subject Gunsan E478252 entity
Predicate hasNearbyIsland P970 FINISHED
Object Munyeo-do
Munyeo-do is a small South Korean island located off the coast of Gunsan in North Jeolla Province, known for its quiet fishing villages and coastal scenery.
 E1401464 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: Munyeo-do | Statement: [Gunsan, hasNearbyIsland, Munyeo-do]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Munyeo-do
Context triple: [Gunsan, hasNearbyIsland, Munyeo-do]
  • A. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • B. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • C. Donhwamun
    Donhwamun is the main gate of Changdeokgung Palace in Seoul, South Korea, and one of the oldest surviving palace gates from the Joseon Dynasty.
  • D. Mugunghwa-ho
    Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
  • E. Musan
    Musan is a mining town in northeastern North Korea known for its large iron ore deposits and proximity to the Chinese border.
  • 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: Munyeo-do
Triple: [Gunsan, hasNearbyIsland, Munyeo-do]
Generated description
Munyeo-do is a small South Korean island located off the coast of Gunsan in North Jeolla Province, known for its quiet fishing villages and coastal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Munyeo-do
Target entity description: Munyeo-do is a small South Korean island located off the coast of Gunsan in North Jeolla Province, known for its quiet fishing villages and coastal scenery.
  • A. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • B. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • C. Donhwamun
    Donhwamun is the main gate of Changdeokgung Palace in Seoul, South Korea, and one of the oldest surviving palace gates from the Joseon Dynasty.
  • D. Mugunghwa-ho
    Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
  • E. Musan
    Musan is a mining town in northeastern North Korea known for its large iron ore deposits and proximity to the Chinese border.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea42b8c88190922819539e4b640b completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07eaffbc748190b33574e2868f94c5 completed May 16, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_6a07eb617a3c8190a0538feb7bc962cd completed May 16, 2026, 3:58 a.m.
Created at: April 10, 2026, 1:52 p.m.