Triple

T23138779
Position Surface form Disambiguated ID Type / Status
Subject World Cup Stadium Station E577397 entity
Predicate district P2709 FINISHED
Object Mapo District 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: Mapo District | Statement: [World Cup Stadium Station, district, Mapo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapo District
Context triple: [World Cup Stadium Station, district, Mapo District]
  • A. Mapo District chosen
    Mapo District is a vibrant administrative and cultural area in western Seoul, South Korea, known for neighborhoods like Hongdae and its lively arts, nightlife, and dining scenes.
  • B. Omate District
    Omate District is an administrative district located within Peru's southern Andean region, known for its rural communities and highland landscapes.
  • C. Getasan District
    Getasan District is an administrative district in Central Java, Indonesia, located within Semarang Regency and known for its rural highland landscapes near Mount Merbabu.
  • D. Nangang District
    Nangang District is a central urban district of Harbin, China, known as a major administrative, commercial, and educational hub of the city.
  • E. Nangang District
    Nangang District is an eastern district of Taipei, Taiwan, known for its technology parks, transportation hubs, and role as a growing center for business and innovation.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8e23988190814524f63a7efe36 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.