Triple

T19116627
Position Surface form Disambiguated ID Type / Status
Subject Korean Bar Association E467922 entity
Predicate headquartersLocation P62 FINISHED
Object Seocho District, Seoul 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: Seocho District, Seoul | Statement: [Korean Bar Association, headquartersLocation, Seocho District, Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seocho District, Seoul
Context triple: [Korean Bar Association, headquartersLocation, Seocho District, Seoul]
  • A. Gangseo District, Seoul
    Gangseo District, Seoul is a western administrative district of South Korea’s capital known for its mix of residential areas, educational and cultural institutions, and proximity to Gimpo International Airport.
  • B. Dobong District, Seoul
    Dobong District is a northern residential and mountainous borough of Seoul, South Korea, known for Dobongsan Mountain and its hiking trails.
  • C. Seodaemun-gu, Seoul
    Seodaemun-gu, Seoul is a central district in western Seoul, South Korea, known for its universities, historical sites, and vibrant urban neighborhoods.
  • D. Yeongdeungpo District, Seoul
    Yeongdeungpo District, Seoul is a major commercial and residential area in southwestern Seoul, known for its business centers, shopping complexes, and dense urban development.
  • E. Jung District, Seoul
    Jung District, Seoul is a central business and administrative district of South Korea’s capital, known for its major financial institutions, government offices, and historic landmarks.
  • 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: Seocho District, Seoul
Target entity description: 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.
  • A. Gangseo District, Seoul
    Gangseo District, Seoul is a western administrative district of South Korea’s capital known for its mix of residential areas, educational and cultural institutions, and proximity to Gimpo International Airport.
  • B. Dobong District, Seoul
    Dobong District is a northern residential and mountainous borough of Seoul, South Korea, known for Dobongsan Mountain and its hiking trails.
  • C. Seodaemun-gu, Seoul
    Seodaemun-gu, Seoul is a central district in western Seoul, South Korea, known for its universities, historical sites, and vibrant urban neighborhoods.
  • D. Yeongdeungpo District, Seoul
    Yeongdeungpo District, Seoul is a major commercial and residential area in southwestern Seoul, known for its business centers, shopping complexes, and dense urban development.
  • E. Jung District, Seoul
    Jung District, Seoul is a central business and administrative district of South Korea’s capital, known for its major financial institutions, government offices, and historic landmarks.
  • F. None of above. chosen

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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3984bf48190818fa2b01b75decb completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.