Triple

T8437743
Position Surface form Disambiguated ID Type / Status
Subject Haeundae District E199270 entity
Predicate hasTransportation P105 FINISHED
Object BEXCO Station E628358 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: BEXCO Station | Statement: [Haeundae District, hasTransportation, BEXCO Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEXCO Station
Context triple: [Haeundae District, hasTransportation, BEXCO Station]
  • A. Kim Daejung Convention Center Station
    Kim Daejung Convention Center Station is a subway station on the Gwangju Metro that serves the Kim Daejung Convention Center and its surrounding area in Gwangju, South Korea.
  • B. Songdo Station
    Songdo Station is a railway station serving the Songdo area in Incheon, South Korea, providing regional and commuter rail connections within the metropolitan transit network.
  • C. Yeouido Station
    Yeouido Station is a major Seoul Metropolitan Subway station on Yeouido Island that serves as a key transit hub for the city’s financial and business district.
  • D. Haeundae Station chosen
    Haeundae Station is a subway station in Busan, South Korea, serving the popular Haeundae Beach area and its surrounding tourist attractions.
  • E. Seocho Station
    Seocho Station is a subway station in southern Seoul, South Korea, serving as a transit hub for commuters in the Seocho area.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb52978481909c60e43abd496746 completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:08 p.m.