Triple

T20051477
Position Surface form Disambiguated ID Type / Status
Subject Irwon-dong E499209 entity
Predicate locatedInRegion P40 FINISHED
Object Gangnam 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: Gangnam | Statement: [Irwon-dong, locatedInRegion, Gangnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangnam
Context triple: [Irwon-dong, locatedInRegion, Gangnam]
  • A. Gangnam chosen
    Gangnam is a wealthy, fashionable district in Seoul, South Korea, known for its upscale shopping, nightlife, and global fame from the song "Gangnam Style."
  • B. Gangnam Station
    Gangnam Station is a major subway and commercial hub in Seoul, South Korea, known for its heavy foot traffic, shopping, nightlife, and association with the global "Gangnam Style" phenomenon.
  • C. Gangnam-daero
    Gangnam-daero is a major thoroughfare in Seoul’s Gangnam district, known for its dense commercial development, heavy traffic, and role as a central hub of business and nightlife.
  • D. Gangdong-dong
    Gangdong-dong is a neighborhood in Busan, South Korea, serving as the central administrative hub of the city's Gangseo District.
  • E. Seoul Special City
    Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.