Triple

T19540544
Position Surface form Disambiguated ID Type / Status
Subject Sinsa-dong E488886 entity
Predicate knownFor P22 FINISHED
Object Garosu-gil shopping 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: Garosu-gil shopping street | Statement: [Sinsa-dong, knownFor, Garosu-gil shopping street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garosu-gil shopping street
Context triple: [Sinsa-dong, knownFor, Garosu-gil shopping street]
  • A. 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.
  • B. Sinchon shopping district
    Sinchon shopping district is a bustling commercial and entertainment area in western Seoul known for its youth-oriented shops, restaurants, and nightlife centered around nearby universities.
  • C. 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.
  • D. Munsu Street
    Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
  • E. Hang Bong Street
    Hang Bong Street is a bustling historic street in Hanoi’s Old Quarter, known for its traditional shops, tailors, and textile stores.
  • 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: Garosu-gil shopping street
Target entity description: Garosu-gil shopping street is a trendy, tree-lined avenue in Seoul famed for its stylish boutiques, cafes, and vibrant youth culture.
  • A. 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.
  • B. Sinchon shopping district
    Sinchon shopping district is a bustling commercial and entertainment area in western Seoul known for its youth-oriented shops, restaurants, and nightlife centered around nearby universities.
  • C. Apgujeong Rodeo Street chosen
    Apgujeong Rodeo Street is a trendy upscale shopping and entertainment district in Seoul known for its luxury boutiques, fashionable cafes, and vibrant youth culture.
  • D. Munsu Street
    Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
  • E. Hang Bong Street
    Hang Bong Street is a bustling historic street in Hanoi’s Old Quarter, known for its traditional shops, tailors, and textile stores.
  • F. None of above.

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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63872fda48190bbb1f465cb7b57fe completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.