Triple

T7217905
Position Surface form Disambiguated ID Type / Status
Subject Daegu Metro E150181 entity
Predicate hasDepot P2413 FINISHED
Object Jicheon Depot
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
 E666219 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: Jicheon Depot | Statement: [Daegu Metro, hasDepot, Jicheon Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jicheon Depot
Context triple: [Daegu Metro, hasDepot, Jicheon Depot]
  • A. Jangsan Depot
    Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
  • B. Daejeo Depot
    Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
  • C. Jang Bogo Station
    Jang Bogo Station is a South Korean Antarctic research base located on the Scott Coast of Victoria Land, supporting studies in fields such as climate science, glaciology, and marine biology.
  • D. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • E. Sangmu Station
    Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
  • 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: Jicheon Depot
Triple: [Daegu Metro, hasDepot, Jicheon Depot]
Generated description
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jicheon Depot
Target entity description: Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • A. Jangsan Depot
    Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
  • B. Daejeo Depot
    Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
  • C. Jang Bogo Station
    Jang Bogo Station is a South Korean Antarctic research base located on the Scott Coast of Victoria Land, supporting studies in fields such as climate science, glaciology, and marine biology.
  • D. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • E. Sangmu Station
    Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
  • 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_69c8342a44a08190abee47cc7482c757 completed March 28, 2026, 8:03 p.m.
NEDg Description generation batch_69c835904be081908fa9317eb5568d82 completed March 28, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c83621b32c8190bd4b289b5f9f1764 completed March 28, 2026, 8:12 p.m.
Created at: March 27, 2026, 2:53 p.m.