Triple

T105492
Position Surface form Disambiguated ID Type / Status
Subject Asia E2127 entity
Predicate containsMajorCity P316 FINISHED
Object Seoul
Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
 E19209 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: Seoul | Statement: [Asia, containsMajorCity, Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seoul
Context triple: [Asia, containsMajorCity, Seoul]
  • A. Busan
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • B. Koreatown
    Koreatown is a vibrant Manhattan neighborhood known for its dense concentration of Korean restaurants, shops, and cultural businesses centered around West 32nd Street near the Empire State Building.
  • C. Nara
    Nara is an ancient Japanese city renowned for its early role as a national capital, its historic temples, and its culturally significant deer-filled parks.
  • D. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • E. Kyoto
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • 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: Seoul
Triple: [Asia, containsMajorCity, Seoul]
Generated description
Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seoul
Target entity description: Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
  • A. Busan
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • B. Koreatown
    Koreatown is a vibrant Manhattan neighborhood known for its dense concentration of Korean restaurants, shops, and cultural businesses centered around West 32nd Street near the Empire State Building.
  • C. Nara
    Nara is an ancient Japanese city renowned for its early role as a national capital, its historic temples, and its culturally significant deer-filled parks.
  • D. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • E. Kyoto
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256c96e5481908c67f69e99978292 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d0c31ca88190981c66f7a3da0528 completed Feb. 28, 2026, 11:25 a.m.
NEDg Description generation batch_69a2d188d5c481909db6fe154c769213 completed Feb. 28, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69a2d1fc07f481908046568ba44006f1 completed Feb. 28, 2026, 11:31 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.