Triple

T10899783
Position Surface form Disambiguated ID Type / Status
Subject Jeonpo-dong E257406 entity
Predicate locatedInAdministrative P40 FINISHED
Object Busanjin-gu E34080 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: Busanjin-gu | Statement: [Jeonpo-dong, locatedInAdministrative, Busanjin-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busanjin-gu
Context triple: [Jeonpo-dong, locatedInAdministrative, Busanjin-gu]
  • A. Busanjin District chosen
    Busanjin District is a central urban district of Busan, South Korea, known as a major commercial and transportation hub of the city.
  • B. Pusanjin-gu
    Pusanjin-gu is a central urban district of Busan, South Korea, known for its major commercial areas, transportation hubs, and dense residential neighborhoods.
  • C. Busan Jung District
    Busan Jung District is a central urban district of Busan, South Korea, known for its historic downtown area, bustling commercial streets, and major shopping and cultural attractions.
  • D. Deogyang-gu
    Deogyang-gu is a district of the city of Goyang in Gyeonggi Province, South Korea, known for its residential areas, historical sites, and proximity to Seoul.
  • E. Geumjeong-gu
    Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2392c8190bc2c2359d63eff7a completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
Created at: April 8, 2026, 9:21 p.m.