Triple

T19844984
Position Surface form Disambiguated ID Type / Status
Subject Seonjeongneung E476836 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Seolleung-dong 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: Seolleung-dong | Statement: [Seonjeongneung, locatedInAdministrativeEntity, Seolleung-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seolleung-dong
Context triple: [Seonjeongneung, locatedInAdministrativeEntity, Seolleung-dong]
  • A. Sinsa-dong
    Sinsa-dong is a fashionable neighborhood in Seoul, South Korea, known for its trendy boutiques, cafes, and the popular Garosu-gil shopping street.
  • B. Chungjeongno-dong
    Chungjeongno-dong is a neighborhood in central Seoul, South Korea, known for its mix of commercial offices, residential areas, and convenient access to major transportation routes.
  • C. Singil-dong
    Singil-dong is a neighborhood (dong) in Seoul, South Korea, located within the city's southwestern Yeongdeungpo District.
  • D. Seocho-dong chosen
    Seocho-dong is a neighborhood in southern Seoul, South Korea, known for its affluent residential areas, major cultural venues, and proximity to key business districts.
  • E. Cheonghak-dong
    Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658091c608190b4eb9bcedd88e147 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.