Triple

T7217890
Position Surface form Disambiguated ID Type / Status
Subject Daegu Metro E150181 entity
Predicate hasConnection P8776 FINISHED
Object Daegu Station
Daegu Station is a major railway and metro hub in Daegu, South Korea, serving as a key transit point for regional and urban transportation.
 E664641 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 Station | Statement: [Daegu Metro, hasConnection, Daegu Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daegu Station
Context triple: [Daegu Metro, hasConnection, Daegu Station]
  • A. Dongdaegu Station
    Dongdaegu Station is a major railway and transportation hub in Daegu, South Korea, serving high-speed KTX trains, conventional rail, and the city’s metro network.
  • B. Daejeon Station
    Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
  • C. Yeonsan Station
    Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
  • D. Gwangju station
    Gwangju station is a major railway station in Gwangju, South Korea, serving as a key hub for regional and intercity train services.
  • E. Busan Station
    Busan Station is a major railway hub in Busan, South Korea, serving high-speed KTX trains and regional services as one of the country’s key transportation centers.
  • 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 Station
Triple: [Daegu Metro, hasConnection, Daegu Station]
Generated description
Daegu Station is a major railway and metro hub in Daegu, South Korea, serving as a key transit point for regional and urban transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daegu Station
Target entity description: Daegu Station is a major railway and metro hub in Daegu, South Korea, serving as a key transit point for regional and urban transportation.
  • A. Dongdaegu Station
    Dongdaegu Station is a major railway and transportation hub in Daegu, South Korea, serving high-speed KTX trains, conventional rail, and the city’s metro network.
  • B. Daejeon Station
    Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
  • C. Yeonsan Station
    Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
  • D. Gwangju station
    Gwangju station is a major railway station in Gwangju, South Korea, serving as a key hub for regional and intercity train services.
  • E. Busan Station
    Busan Station is a major railway hub in Busan, South Korea, serving high-speed KTX trains and regional services as one of the country’s key transportation centers.
  • 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_69c8275b07d08190a796f2b9884fcc33 completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c828050b0481908723e61756aa2d68 completed March 28, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c82900c41481909f886fc565c57420 completed March 28, 2026, 7:16 p.m.
Created at: March 27, 2026, 2:53 p.m.