Triple

T17571844
Position Surface form Disambiguated ID Type / Status
Subject Gwangmyeong E427958 entity
Predicate hasAttraction P105 FINISHED
Object Gahak-dong
Gahak-dong is a neighborhood in the city of Gwangmyeong, South Korea, known as one of its local administrative and residential districts.
E1322977 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: Gahak-dong | Statement: [Gwangmyeong, hasAttraction, Gahak-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gahak-dong
Context triple: [Gwangmyeong, hasAttraction, Gahak-dong]
  • A. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • B. Sogyeok-dong
    Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
  • C. Sasang-dong
    Sasang-dong is a neighborhood in Busan, South Korea, known as an urban residential and commercial area within the city's Sasang District.
  • D. Gahoe-dong
    Gahoe-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
  • E. Hwagok-dong
    Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
  • 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: Gahak-dong
Triple: [Gwangmyeong, hasAttraction, Gahak-dong]
Generated description
Gahak-dong is a neighborhood in the city of Gwangmyeong, South Korea, known as one of its local administrative and residential districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gahak-dong
Target entity description: Gahak-dong is a neighborhood in the city of Gwangmyeong, South Korea, known as one of its local administrative and residential districts.
  • A. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • B. Sogyeok-dong
    Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
  • C. Sasang-dong
    Sasang-dong is a neighborhood in Busan, South Korea, known as an urban residential and commercial area within the city's Sasang District.
  • D. Gahoe-dong
    Gahoe-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
  • E. Hwagok-dong
    Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459324aa48190ae23fcae6e8919f8 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03e2274acc8190a868a760d9613152 completed May 13, 2026, 2:29 a.m.
NEDg Description generation batch_6a03e499e76c819095ace6a58a6a72aa completed May 13, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a03e5558b688190bc439d07f915dee2 completed May 13, 2026, 2:43 a.m.
Created at: April 10, 2026, 5:50 a.m.