Triple

T7195267
Position Surface form Disambiguated ID Type / Status
Subject Honam region E168598 entity
Predicate hasMajorCity P316 FINISHED
Object Iksan
Iksan is a city in South Korea’s North Jeolla Province known as a key transportation hub and historical center with significant Baekje-era cultural heritage.
 E649176 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: Iksan | Statement: [Honam region, hasMajorCity, Iksan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iksan
Context triple: [Honam region, hasMajorCity, Iksan]
  • A. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • B. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • C. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • D. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • E. Ibuka
    Ibuka is a Japanese surname most notably associated with Masaru Ibuka, the co-founder of Sony Corporation.
  • 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: Iksan
Triple: [Honam region, hasMajorCity, Iksan]
Generated description
Iksan is a city in South Korea’s North Jeolla Province known as a key transportation hub and historical center with significant Baekje-era cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iksan
Target entity description: Iksan is a city in South Korea’s North Jeolla Province known as a key transportation hub and historical center with significant Baekje-era cultural heritage.
  • A. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • B. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • C. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • D. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • E. Ibuka
    Ibuka is a Japanese surname most notably associated with Masaru Ibuka, the co-founder of Sony Corporation.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e927709c81909edf6ee42fe7f833 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfa14e1c8190968b207bef0c96a9 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c0a8985c8190894b28c9b733a205 completed March 28, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69c7c1352f8881909c3a7d03a5f2a5b1 completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:51 p.m.