Triple

T7217893
Position Surface form Disambiguated ID Type / Status
Subject Daegu subway fire E150181 entity
Predicate location P40 FINISHED
Object Daegu Metro Line 1
Daegu Metro Line 1 is a major rapid transit line in Daegu, South Korea, notable as the line on which the deadly 2003 Daegu subway fire occurred.
 E689712 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 1 | Statement: [Daegu subway fire, location, Daegu Metro Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daegu Metro Line 1
Context triple: [Daegu subway fire, location, Daegu Metro Line 1]
  • A. 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.
  • B. Daegu Metro Line 3
    Daegu Metro Line 3 is a monorail rapid transit line in Daegu, South Korea, forming part of the city's urban rail network.
  • 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. Gwangju Metro
    Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • 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 1
Triple: [Daegu subway fire, location, Daegu Metro Line 1]
Generated description
Daegu Metro Line 1 is a major rapid transit line in Daegu, South Korea, notable as the line on which the deadly 2003 Daegu subway fire occurred.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daegu Metro Line 1
Target entity description: Daegu Metro Line 1 is a major rapid transit line in Daegu, South Korea, notable as the line on which the deadly 2003 Daegu subway fire occurred.
  • A. 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.
  • B. Daegu Metro Line 3
    Daegu Metro Line 3 is a monorail rapid transit line in Daegu, South Korea, forming part of the city's urban rail network.
  • 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. Gwangju Metro
    Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • 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_69c9061709f48190a9e198dac225aed4 completed March 29, 2026, 10:59 a.m.
NEDg Description generation batch_69c9069a60e88190be4b8c1dc1f1a3af completed March 29, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69c9071da2c48190b3d50e460c312c67 completed March 29, 2026, 11:03 a.m.
Created at: March 27, 2026, 2:53 p.m.