Triple

T20557061
Position Surface form Disambiguated ID Type / Status
Subject Sacheon Airport E504745 entity
Predicate locatedNear P294 FINISHED
Object Namhae
Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
 E1437554 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: Namhae | Statement: [Sacheon Airport, locatedNear, Namhae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Namhae
Context triple: [Sacheon Airport, locatedNear, Namhae]
  • A. Maeng-hee
    Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
  • B. Yeomna
    Yeomna is the Korean deity of the underworld, serving as the judge of the dead who determines the fate of souls in the afterlife.
  • C. Uicheon
    Uicheon was an influential Korean Buddhist monk and scholar of the Goryeo dynasty, known for promoting the Cheontae (Tiantai) school and attempting to harmonize doctrinal and meditative traditions.
  • D. Yeon
    Yeon is the given name of King Seonjo, a Joseon dynasty monarch who ruled Korea during the late 16th century, including the period of the Japanese invasions.
  • E. Gohyeon
    Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
  • 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: Namhae
Triple: [Sacheon Airport, locatedNear, Namhae]
Generated description
Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Namhae
Target entity description: Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
  • A. Maeng-hee
    Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
  • B. Yeomna
    Yeomna is the Korean deity of the underworld, serving as the judge of the dead who determines the fate of souls in the afterlife.
  • C. Uicheon
    Uicheon was an influential Korean Buddhist monk and scholar of the Goryeo dynasty, known for promoting the Cheontae (Tiantai) school and attempting to harmonize doctrinal and meditative traditions.
  • D. Yeon
    Yeon is the given name of King Seonjo, a Joseon dynasty monarch who ruled Korea during the late 16th century, including the period of the Japanese invasions.
  • E. Gohyeon
    Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5de9c008190b8620628fb285e90 completed April 20, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a576d990819099ac2858ea7df968 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a68c08dc8190a09854800df82686 completed May 16, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_6a08a7331cc88190a9ed6056e5743e69 completed May 16, 2026, 5:19 p.m.
Created at: April 16, 2026, 11:38 a.m.