Triple

T1978686
Position Surface form Disambiguated ID Type / Status
Subject Pyeongtaek E42974 entity
Predicate borderedBy P224 FINISHED
Object Anseong
Anseong is a city in Gyeonggi Province, South Korea, known for its traditional culture, agricultural heritage, and annual Baudeogi Festival.
 E387929 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: Anseong | Statement: [Pyeongtaek, borderedBy, Anseong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anseong
Context triple: [Pyeongtaek, borderedBy, Anseong]
  • A. Pyeongtaek
    Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
  • B. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • C. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • D. Gyeongju
    Gyeongju is a historic city in South Korea famed for its rich cultural heritage and numerous archaeological sites from the ancient Silla Kingdom.
  • E. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • 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: Anseong
Triple: [Pyeongtaek, borderedBy, Anseong]
Generated description
Anseong is a city in Gyeonggi Province, South Korea, known for its traditional culture, agricultural heritage, and annual Baudeogi Festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anseong
Target entity description: Anseong is a city in Gyeonggi Province, South Korea, known for its traditional culture, agricultural heritage, and annual Baudeogi Festival.
  • A. Pyeongtaek
    Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
  • B. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • C. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • D. Gyeongju
    Gyeongju is a historic city in South Korea famed for its rich cultural heritage and numerous archaeological sites from the ancient Silla Kingdom.
  • E. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb43011188190b6a41c004e9e4802 completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4f00722c08190b5c42fc75fd9b7e8 completed March 14, 2026, 5:20 a.m.
NEDg Description generation batch_69b4f1891b4081909a9324f75904815f completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f20b50708190abd8f62b996cbc36 completed March 14, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:36 p.m.