Triple

T12158274
Position Surface form Disambiguated ID Type / Status
Subject Kangseo-gu E289635 entity
Predicate romanizationOf P2508 FINISHED
Object Gangseo District E661283 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: Gangseo District | Statement: [Kangseo-gu, romanizationOf, Gangseo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangseo District
Context triple: [Kangseo-gu, romanizationOf, Gangseo District]
  • A. Gangseo District
    Gangseo District is a western coastal district of Busan, South Korea, known for its industrial complexes, logistics hubs, and proximity to Gimhae International Airport.
  • B. Gangseo District chosen
    Gangseo District is a western administrative district of Seoul, South Korea, known for its residential areas, transportation hubs, and proximity to Gimpo International Airport.
  • C. 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.
  • D. Gwangjin District
    Gwangjin District is an eastern borough of Seoul, South Korea, known for its universities, shopping areas, and location along the Han River.
  • E. Seongbuk District
    Seongbuk District is a residential and educational borough in northern Seoul, South Korea, known for its universities, cultural sites, and traditional neighborhoods.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e476d48190b6d9fafa7fe1cb9f completed May 3, 2026, 4:58 a.m.
Created at: April 8, 2026, 9:50 p.m.