Triple

T1302038
Position Surface form Disambiguated ID Type / Status
Subject Incheon E27787 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Dong District E152773 NE FINISHED

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: Dong District | Statement: [Incheon, hasAdministrativeDivision, Dong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong District
Context triple: [Incheon, hasAdministrativeDivision, Dong District]
  • A. Hanyang District
    Hanyang District is an urban district of Wuhan, China, situated at the confluence of the Yangtze and Han rivers and known as one of the city’s historic core areas.
  • B. Jung District
    Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
  • C. Jung District chosen
    Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
  • D. Suyeong District
    Suyeong District is an urban coastal district in Busan, South Korea, known for its beaches, residential areas, and cultural attractions.
  • E. Geumjeong District
    Geumjeong District is an administrative district in the northeastern part of Busan, South Korea, known for its mountainous terrain, historic fortress, and educational institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc622dac88190b6ecdc62c7f26dc5 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:51 p.m.