Triple

T16360369
Position Surface form Disambiguated ID Type / Status
Subject Incheon E397293 entity
Predicate hasDistrict P459 FINISHED
Object Yeonsu District E155416 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: Yeonsu District | Statement: [Incheon, hasDistrict, Yeonsu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeonsu District
Context triple: [Incheon, hasDistrict, Yeonsu District]
  • A. Yeonsu District chosen
    Yeonsu District is a coastal administrative district in Incheon, South Korea, known for its modern residential areas, educational institutions, and proximity to the Songdo International Business District.
  • B. Yeongjong District
    Yeongjong District is a major development area within Incheon, South Korea, centered around Incheon International Airport and planned as a hub for logistics, tourism, and high-tech industries.
  • C. 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.
  • D. Taesong District
    Taesong District is an administrative district of Pyongyang, North Korea, known for hosting major educational and cultural institutions.
  • E. Gwangsan District
    Gwangsan District is one of the administrative districts of Gwangju, South Korea, known for its mix of urban development and transportation hubs including Gwangju Songjeong station.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad241848190a9f32c7b050f20a5 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecdffac81908ca03a88974203f9 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:08 a.m.