Triple

T19381599
Position Surface form Disambiguated ID Type / Status
Subject Apgujeong-dong E484821 entity
Predicate knownFor P22 FINISHED
Object Apgujeong Rodeo Street NE NERFINISHED

How this triple was built (2 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: Apgujeong Rodeo Street | Statement: [Apgujeong-dong, knownFor, Apgujeong Rodeo Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apgujeong Rodeo Street
Context triple: [Apgujeong-dong, knownFor, Apgujeong Rodeo Street]
  • A. 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.
  • B. Munsu Street
    Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
  • C. 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.
  • D. 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.
  • E. Seomyeon 1st Street
    Seomyeon 1st Street is a popular shopping and entertainment district in Busan, South Korea, known for its dense concentration of shops, cafes, restaurants, and nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a6075a88190aed7afa3b8fd3021 completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.