Triple

T22143824
Position Surface form Disambiguated ID Type / Status
Subject Songpa District E547233 entity
Predicate hasAttraction P105 FINISHED
Object Munjeong-dong Rodeo Street 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: Munjeong-dong Rodeo Street | Statement: [Songpa District, hasAttraction, Munjeong-dong Rodeo Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munjeong-dong Rodeo Street
Context triple: [Songpa District, hasAttraction, Munjeong-dong Rodeo Street]
  • A. Apgujeong Rodeo Street
    Apgujeong Rodeo Street is a trendy upscale shopping and entertainment district in Seoul known for its luxury boutiques, fashionable cafes, and vibrant youth culture.
  • B. Gwangbok-dong shopping street
    Gwangbok-dong shopping street is a popular commercial district in Busan, South Korea, known for its bustling pedestrian-friendly avenues lined with fashion boutiques, cafes, and local shops.
  • C. Munsu Street
    Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
  • D. Hongdae Walking Street
    Hongdae Walking Street is a vibrant pedestrian area in Seoul known for its indie music scene, street performances, nightlife, and youth culture centered around Hongik University.
  • E. Jongno shopping streets
    Jongno shopping streets are a bustling traditional and modern commercial district in central Seoul, known for their mix of historic shops, street food, and cultural attractions.
  • 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: Munjeong-dong Rodeo Street
Target entity description: Munjeong-dong Rodeo Street is a popular shopping district in Seoul known for its numerous fashion outlets, boutiques, and trendy cafes.
  • A. Apgujeong Rodeo Street
    Apgujeong Rodeo Street is a trendy upscale shopping and entertainment district in Seoul known for its luxury boutiques, fashionable cafes, and vibrant youth culture.
  • B. Gwangbok-dong shopping street
    Gwangbok-dong shopping street is a popular commercial district in Busan, South Korea, known for its bustling pedestrian-friendly avenues lined with fashion boutiques, cafes, and local shops.
  • C. Munsu Street
    Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
  • D. Hongdae Walking Street
    Hongdae Walking Street is a vibrant pedestrian area in Seoul known for its indie music scene, street performances, nightlife, and youth culture centered around Hongik University.
  • E. Jongno shopping streets
    Jongno shopping streets are a bustling traditional and modern commercial district in central Seoul, known for their mix of historic shops, street food, and cultural attractions.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129c045448190b3d189cdb8c0d2fd completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.