Triple

T14372136
Position Surface form Disambiguated ID Type / Status
Subject Geoje E356381 entity
Predicate hasSettlement P1068 FINISHED
Object Gohyeon
Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
 E1100194 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: Gohyeon | Statement: [Geoje, hasSettlement, Gohyeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gohyeon
Context triple: [Geoje, hasSettlement, Gohyeon]
  • A. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • B. Kun-hee
    Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
  • C. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • D. Ji-yeong
    Ji-yeong is a tragic supporting character in the Netflix series "Squid Game," known for her poignant friendship with Kang Sae-byeok and her self-sacrificial choice during the marbles game.
  • E. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • 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: Gohyeon
Triple: [Geoje, hasSettlement, Gohyeon]
Generated description
Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gohyeon
Target entity description: Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
  • A. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • B. Kun-hee
    Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
  • C. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • D. Ji-yeong
    Ji-yeong is a tragic supporting character in the Netflix series "Squid Game," known for her poignant friendship with Kang Sae-byeok and her self-sacrificial choice during the marbles game.
  • E. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648135188190af86b1b2be2fe0e0 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd650d21c48190860f6df2ef2f7660 completed May 8, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69fd65726378819094139b14585b61c1 completed May 8, 2026, 4:24 a.m.
Created at: April 10, 2026, 1:15 a.m.