Triple

T15863646
Position Surface form Disambiguated ID Type / Status
Subject Yangsan-dong E384653 entity
Predicate partOf P40 FINISHED
Object Osan 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: Osan City | Statement: [Yangsan-dong, partOf, Osan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osan City
Context triple: [Yangsan-dong, partOf, Osan City]
  • A. Osan City chosen
    Osan City is a small urban municipality in Gyeonggi Province, South Korea, known for its residential districts, local markets, and proximity to major Seoul metropolitan transport routes.
  • B. Osaki City
    Osaki City is a regional city in northeastern Japan known for its agricultural production, hot springs, and historical sites.
  • C. Osaki New City
    Osaki New City is a major business and commercial district in Tokyo known for its modern office complexes, high-rise buildings, and urban redevelopment projects.
  • D. Awaji City
    Awaji City is a municipality located on Awaji Island in Hyōgo Prefecture, Japan, known for its scenic coastal landscapes, agriculture, and cultural heritage.
  • E. Itami City
    Itami City is an urban municipality in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport) and its role within the Kansai metropolitan area.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555d38fc8190bd8820bb5b238b71 completed April 16, 2026, 9:32 p.m.
Created at: April 10, 2026, 4:50 a.m.