Triple

T19768627
Position Surface form Disambiguated ID Type / Status
Subject Dogok-dong E474822 entity
Predicate hasCountrySubdivision P766 FINISHED
Object Seoul Special City 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: Seoul Special City | Statement: [Dogok-dong, hasCountrySubdivision, Seoul Special City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul Special City
Context triple: [Dogok-dong, hasCountrySubdivision, Seoul Special City]
  • A. Seoul Special City chosen
    Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
  • B. Seoul Land
    Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
  • C. Itaewon
    Itaewon is a vibrant multicultural district in Seoul known for its international cuisine, nightlife, and diverse expatriate community.
  • D. Itaewon Station
    Itaewon Station is a Seoul Metropolitan Subway station serving the popular Itaewon neighborhood, known for its international dining, nightlife, and shopping.
  • E. Seul sur son étoile
    "Seul sur son étoile" is a French song by celebrated singer-songwriter Gilbert Bécaud, known for its emotive melody and expressive vocal performance.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65359bb9881908f48282b63a83f2f completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.