Triple

T20798504
Position Surface form Disambiguated ID Type / Status
Subject Asian Games Incheon 2014 E511975 entity
Predicate mascot P52 FINISHED
Object Vichuon
Vichuon is one of the official mascots of the 2014 Asian Games held in Incheon, South Korea, designed as a playful seal character to promote the event.
E1450888 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: Vichuon | Statement: [Asian Games Incheon 2014, mascot, Vichuon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vichuon
Context triple: [Asian Games Incheon 2014, mascot, Vichuon]
  • A. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • B. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • C. Vichuga
    Vichuga is a small industrial town in central Russia known historically for its textile manufacturing.
  • D. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • E. Chiwu
    Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
  • 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: Vichuon
Triple: [Asian Games Incheon 2014, mascot, Vichuon]
Generated description
Vichuon is one of the official mascots of the 2014 Asian Games held in Incheon, South Korea, designed as a playful seal character to promote the event.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vichuon
Target entity description: Vichuon is one of the official mascots of the 2014 Asian Games held in Incheon, South Korea, designed as a playful seal character to promote the event.
  • A. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • B. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • C. Vichuga
    Vichuga is a small industrial town in central Russia known historically for its textile manufacturing.
  • D. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • E. Chiwu
    Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2aef2e08190a779ed1d516ecba7 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8c2ff648190af26a0eaf79e0ea0 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f999e4dc819091c9b61b5a44209d completed May 16, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa3938948190a4027093ed697d1f completed May 16, 2026, 11:14 p.m.
Created at: April 16, 2026, 12:39 p.m.