Triple

T12730045
Position Surface form Disambiguated ID Type / Status
Subject Guseo-dong E304209 entity
Predicate hasTransport P1298 FINISHED
Object Busan Metro 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 | Statement: [Guseo-dong, hasTransport, Busan Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busan Metro
Context triple: [Guseo-dong, hasTransport, Busan Metro]
  • 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. Busan Metro Line 1
    Busan Metro Line 1 is the oldest and one of the main rapid transit lines in Busan, South Korea, running in a generally north–south direction and connecting key commercial and residential areas across the city.
  • 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. Busan Metro Line 2
    Busan Metro Line 2 is a major east–west subway line in Busan, South Korea, connecting key residential, commercial, and industrial areas across the city.
  • E. Busan Metro Line 3
    Busan Metro Line 3 is a rapid transit line in Busan, South Korea, running mostly on an elevated alignment and connecting key residential and commercial districts across the city.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:25 p.m.