Triple

T20133076
Position Surface form Disambiguated ID Type / Status
Subject Seoul Subway Line 7 E490948 entity
Predicate operator P179 FINISHED
Object Seoul Metro NE NERFINISHED

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: Seoul Metro | Statement: [Seoul Subway Line 7, operator, Seoul Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul Metro
Context triple: [Seoul Subway Line 7, operator, Seoul Metro]
  • A. Seoul Metro chosen
    Seoul Metro is the public corporation responsible for operating a major portion of the Seoul Metropolitan Subway system in South Korea.
  • B. Seoul Metropolitan Subway
    The Seoul Metropolitan Subway is an extensive rapid transit network serving Seoul and its surrounding metropolitan area, known for its high efficiency, cleanliness, and technological sophistication.
  • C. Incheon Subway
    Incheon Subway is the urban rapid transit system serving the city of Incheon, South Korea, connecting major districts and linking with the Seoul Metropolitan Subway network.
  • D. 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.
  • E. Seoul Subway Line 1
    Seoul Subway Line 1 is a major north–south subway line in the Seoul Metropolitan Subway system, connecting central Seoul with numerous suburban cities and serving as one of the network’s oldest and busiest routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66763ee908190af64af31b4ca2377 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.