Triple

T1307879
Position Surface form Disambiguated ID Type / Status
Subject Daegu E27919 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Dalseong County
Dalseong County is a largely rural administrative district on the outskirts of Daegu in South Korea, known for its natural scenery, agricultural areas, and growing suburban developments.
E167228 NE FINISHED

How this triple was built (5 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: Dalseong County | Statement: [Daegu, hasCountyLevelCity, Dalseong County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalseong County
Context triple: [Daegu, hasCountyLevelCity, Dalseong County]
  • A. Hoechang County
    Hoechang County is a county in South Pyongan Province, North Korea, historically noted as the burial site of Mao Anying, son of Chinese leader Mao Zedong.
  • B. Ongjin County
    Ongjin County is a rural island and coastal county in South Korea known for its fishing communities, natural scenery, and administrative affiliation with the metropolitan city of Incheon.
  • C. Gijang County
    Gijang County is a coastal administrative region in northeastern Busan, South Korea, known for its scenic shoreline, seafood, and growing residential and tourist areas.
  • D. Ganghwa County
    Ganghwa County is a rural island county in northwestern South Korea known for its historical sites, fortresses, and strategic location near the border with North Korea.
  • E. Jung District
    Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
  • 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: Dalseong County
Triple: [Daegu, hasCountyLevelCity, Dalseong County]
Generated description
Dalseong County is a largely rural administrative district on the outskirts of Daegu in South Korea, known for its natural scenery, agricultural areas, and growing suburban developments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dalseong County
Target entity description: Dalseong County is a largely rural administrative district on the outskirts of Daegu in South Korea, known for its natural scenery, agricultural areas, and growing suburban developments.
  • A. Hoechang County
    Hoechang County is a county in South Pyongan Province, North Korea, historically noted as the burial site of Mao Anying, son of Chinese leader Mao Zedong.
  • B. Ongjin County
    Ongjin County is a rural island and coastal county in South Korea known for its fishing communities, natural scenery, and administrative affiliation with the metropolitan city of Incheon.
  • C. Gijang County
    Gijang County is a coastal administrative region in northeastern Busan, South Korea, known for its scenic shoreline, seafood, and growing residential and tourist areas.
  • D. Ganghwa County
    Ganghwa County is a rural island county in northwestern South Korea known for its historical sites, fortresses, and strategic location near the border with North Korea.
  • E. Jung District
    Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountyLevelCity
Context triple: [Daegu, hasCountyLevelCity, Dalseong County]
  • A. hasCountySeatFunction
    Indicates that an entity serves as the official county seat, functioning as the administrative center for a county.
  • B. hasCountySeatFeature
    Indicates that a county has a specific feature serving as its official county seat (administrative center).
  • C. hasMetropolitanCounty
    Indicates that an entity is associated with, located within, or administered by a specific metropolitan county.
  • D. isInCountySeatOf
    Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
  • E. hasCountyCode
    Indicates that an entity is associated with a specific county identified by a standardized county code.
  • F. None of above. chosen

Provenance (7 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e62007081908dc993492e23dda5 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0f6838bc8190b0a77eda44f1949e completed March 8, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69ad0fbdd20081909ea89e527a4e342e completed March 8, 2026, 5:57 a.m.
PD Predicate disambiguation batch_69a4bee9e4a88190b22ab2ee831a23c9 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c15361c8819094b8171e780b5560 completed March 1, 2026, 10:44 p.m.
Created at: March 1, 2026, 7:51 p.m.