Triple

T7763626
Position Surface form Disambiguated ID Type / Status
Subject Songdo Beach E176088 entity
Predicate locatedIn P40 FINISHED
Object Seo-gu, Busan E217800 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: Seo-gu, Busan | Statement: [Songdo Beach, locatedIn, Seo-gu, Busan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seo-gu, Busan
Context triple: [Songdo Beach, locatedIn, Seo-gu, Busan]
  • A. Dong-gu, Busan
    Dong-gu, Busan is a central district of Busan, South Korea, known for its major transportation hubs, dense urban neighborhoods, and coastal views.
  • B. Buk-gu, Busan
    Buk-gu, Busan is a northern district of Busan, South Korea, known as a largely residential and industrial area within the metropolitan city.
  • C. Suyeong-gu, Busan
    Suyeong-gu, Busan is a coastal district in southeastern Busan, South Korea, known for its urban residential areas, commercial centers, and proximity to popular beaches and scenic mountains.
  • D. Seo District, Busan chosen
    Seo District, Busan is a central administrative and residential area of Busan, South Korea, known for its urban neighborhoods, commercial zones, and connectivity via the Busan Metro.
  • E. Gangseo District, Busan
    Gangseo District is a coastal administrative district in western Busan, South Korea, known for its industrial complexes, port facilities, and Gimhae International Airport.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704061d1881909b5b42bb93d2b8a7 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7da8b848190b378f694118dfa19 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:09 p.m.