Triple

T20044409
Position Surface form Disambiguated ID Type / Status
Subject Gaepo-dong E497518 entity
Predicate locatedInRegion P40 FINISHED
Object Gangnam area 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 area | Statement: [Gaepo-dong, locatedInRegion, Gangnam area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangnam area
Context triple: [Gaepo-dong, locatedInRegion, Gangnam area]
  • A. Gangnam District chosen
    Gangnam District is a wealthy, high-end commercial and residential area in Seoul, South Korea, known for its skyscrapers, luxury shopping, and vibrant nightlife.
  • B. 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.
  • 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. Seocho District, Seoul
    Seocho District, Seoul is a major affluent residential and business district in southern Seoul known for its legal institutions, cultural venues, and proximity to the Gangnam area.
  • E. Guro District, Seoul
    Guro District, Seoul is a southwestern administrative district of South Korea’s capital known for its digital industrial complexes and technology-focused business centers.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.