Triple

T19361338
Position Surface form Disambiguated ID Type / Status
Subject Seoul City Tour Bus E484286 entity
Predicate includesStopNear P35768 FINISHED
Object Namsan area — NE NERFINISHED

How this triple was built (3 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: Namsan area | Statement: [Seoul City Tour Bus, includesStopNear, Namsan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Namsan area
Context triple: [Seoul City Tour Bus, includesStopNear, Namsan area]
  • A. Seoul City Hall area
    The Seoul City Hall area is a central district in downtown Seoul known for its modern government buildings, public squares, and proximity to historic sites like Deoksugung Palace.
  • B. Taewonjeon area
    The Taewonjeon area is a section of Seoul’s historic Gyeongbokgung Palace complex, traditionally associated with royal ancestral rites and related palace facilities.
  • C. Dongdaemun area
    The Dongdaemun area is a major commercial and cultural district in central Seoul, known for its large fashion markets, shopping complexes, and modern landmarks.
  • D. Incheon Station area
    The Incheon Station area is an urban district surrounding Incheon’s historic railway terminus, known as a gateway to the city and a hub for transportation, commerce, and nearby cultural attractions.
  • E. Gwanak-gu, Seoul
    Gwanak-gu, Seoul is a southern district of South Korea’s capital city known for housing major institutions like Seoul National University and combining dense urban neighborhoods with access to Gwanak Mountain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Namsan area
Target entity description: The Namsan area is a popular district in central Seoul known for Namsan Mountain, N Seoul Tower, scenic walking trails, and panoramic city views.
  • A. Seoul City Hall area
    The Seoul City Hall area is a central district in downtown Seoul known for its modern government buildings, public squares, and proximity to historic sites like Deoksugung Palace.
  • B. Taewonjeon area
    The Taewonjeon area is a section of Seoul’s historic Gyeongbokgung Palace complex, traditionally associated with royal ancestral rites and related palace facilities.
  • C. Dongdaemun area
    The Dongdaemun area is a major commercial and cultural district in central Seoul, known for its large fashion markets, shopping complexes, and modern landmarks.
  • D. Incheon Station area
    The Incheon Station area is an urban district surrounding Incheon’s historic railway terminus, known as a gateway to the city and a hub for transportation, commerce, and nearby cultural attractions.
  • E. Gwanak-gu, Seoul
    Gwanak-gu, Seoul is a southern district of South Korea’s capital city known for housing major institutions like Seoul National University and combining dense urban neighborhoods with access to Gwanak Mountain.
  • F. None of above. chosen

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a712608190be696a44beda935e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:34 p.m.