Triple

T10043655
Position Surface form Disambiguated ID Type / Status
Subject Suyeong River E205356 entity
Predicate nearby P350 FINISHED
Object Centum City E157613 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: Centum City | Statement: [Suyeong River, nearby, Centum City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centum City
Context triple: [Suyeong River, nearby, Centum City]
  • A. Centum City chosen
    Centum City is a major modern business and entertainment district in Busan, South Korea, known for its high-rise complexes, shopping centers, and cultural venues.
  • B. Shannon City
    Shannon City is a small rural community in southern Iowa, United States.
  • C. Virgil City
    Virgil City is a small unincorporated community located in Missouri, United States.
  • D. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • E. Dain City
    Dain City is a residential community in Ontario, Canada, situated within the city of Port Colborne near the Welland Canal.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf61b3e08190b69bcf67b6a95342 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.