Triple

T6802701
Position Surface form Disambiguated ID Type / Status
Subject Sasang Intercity Bus Terminal E156222 entity
Predicate publicTransitConnection P1288 FINISHED
Object Busan Metro Line 2 E36979 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: Busan Metro Line 2 | Statement: [Sasang Intercity Bus Terminal, publicTransitConnection, Busan Metro Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busan Metro Line 2
Context triple: [Sasang Intercity Bus Terminal, publicTransitConnection, Busan Metro Line 2]
  • A. Busan Metro chosen
    Busan Metro is the rapid transit system serving the city of Busan, South Korea, providing extensive urban and suburban rail transportation across the metropolitan area.
  • B. Gwangju Metro
    Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • C. Daegu Metro
    Daegu Metro is the urban rapid transit system serving the city of Daegu in South Korea, providing high-capacity rail transportation across the metropolitan area.
  • D. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • E. Shinbundang Line
    The Shinbundang Line is a high-speed, driverless subway line in the Seoul metropolitan area that connects southern Seoul with the satellite city of Bundang.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e714d4819084c8109c4de7de72 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7617566f481908d49d3e285c4fdae completed March 28, 2026, 5:04 a.m.
Created at: March 27, 2026, 2:16 p.m.