Triple

T7217868
Position Surface form Disambiguated ID Type / Status
Subject Daegu Metro E150181 entity
Predicate hasLine P35 FINISHED
Object Daegu Metro Line 2
Daegu Metro Line 2 is an east–west rapid transit line in Daegu, South Korea, forming a key part of the city's urban rail network.
 E689075 NE FINISHED

How this triple was built (4 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: Daegu Metro Line 2 | Statement: [Daegu Metro, hasLine, Daegu Metro Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daegu Metro Line 2
Context triple: [Daegu Metro, hasLine, Daegu Metro Line 2]
  • A. 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.
  • B. Gwangju Metro
    Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • C. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • D. Busan Metro
    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.
  • E. Seoul Subway Line 2
    Seoul Subway Line 2 is a major circular metro line in Seoul’s subway system, known for serving key commercial and business districts across the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daegu Metro Line 2
Triple: [Daegu Metro, hasLine, Daegu Metro Line 2]
Generated description
Daegu Metro Line 2 is an east–west rapid transit line in Daegu, South Korea, forming a key part of the city's urban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daegu Metro Line 2
Target entity description: Daegu Metro Line 2 is an east–west rapid transit line in Daegu, South Korea, forming a key part of the city's urban rail network.
  • A. 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.
  • B. Gwangju Metro
    Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • C. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • D. Busan Metro
    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.
  • E. Seoul Subway Line 2
    Seoul Subway Line 2 is a major circular metro line in Seoul’s subway system, known for serving key commercial and business districts across the city.
  • F. None of above. chosen

Provenance (5 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eee797a881909548186742cf7b66 completed March 29, 2026, 9:20 a.m.
NEDg Description generation batch_69c8ef99d09c8190af2203bc1da07c7c completed March 29, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69c8f088fa3c8190bf13aa7a98b4e886 completed March 29, 2026, 9:27 a.m.
Created at: March 27, 2026, 2:53 p.m.