Triple

T7128925
Position Surface form Disambiguated ID Type / Status
Subject Ongjin County E166135 entity
Predicate hasPart P35 FINISHED
Object Muuido
Muuido is a small island off the west coast of South Korea known for its beaches, coastal hiking trails, and proximity to Incheon.
 E644319 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: Muuido | Statement: [Ongjin County, hasPart, Muuido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muuido
Context triple: [Ongjin County, hasPart, Muuido]
  • A. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • B. Mungguy
    Mungguy are the Aboriginal traditional owners and custodians of the land that includes Kakadu National Park in Australia’s Northern Territory.
  • C. Mongmit
    Mongmit is a historic town and former minor Shan principality in northern Myanmar, known for its role within the traditional Shan States.
  • D. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • E. Mukō
    Mukō is a city in Kyoto Prefecture, Japan, known for its residential character and proximity to the Kyoto metropolitan area.
  • 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: Muuido
Triple: [Ongjin County, hasPart, Muuido]
Generated description
Muuido is a small island off the west coast of South Korea known for its beaches, coastal hiking trails, and proximity to Incheon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muuido
Target entity description: Muuido is a small island off the west coast of South Korea known for its beaches, coastal hiking trails, and proximity to Incheon.
  • A. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • B. Mungguy
    Mungguy are the Aboriginal traditional owners and custodians of the land that includes Kakadu National Park in Australia’s Northern Territory.
  • C. Mongmit
    Mongmit is a historic town and former minor Shan principality in northern Myanmar, known for its role within the traditional Shan States.
  • D. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • E. Mukō
    Mukō is a city in Kyoto Prefecture, Japan, known for its residential character and proximity to the Kyoto metropolitan area.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.