Triple

T19540608
Position Surface form Disambiguated ID Type / Status
Subject Seoul Subway Line 3 E488887 entity
Predicate hasDepot P2413 FINISHED
Object Jichuk Depot
Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
E1381105 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: Jichuk Depot | Statement: [Seoul Subway Line 3, hasDepot, Jichuk Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jichuk Depot
Context triple: [Seoul Subway Line 3, hasDepot, Jichuk Depot]
  • A. Nangang Depot
    Nangang Depot is a major maintenance and storage facility serving Taipei's metro system in the Nangang District.
  • B. Munyang Depot
    Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • C. Jangsan Depot
    Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
  • D. Oshima Depot
    Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
  • E. Fukagawa Depot
    Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
  • 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: Jichuk Depot
Triple: [Seoul Subway Line 3, hasDepot, Jichuk Depot]
Generated description
Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jichuk Depot
Target entity description: Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
  • A. Nangang Depot
    Nangang Depot is a major maintenance and storage facility serving Taipei's metro system in the Nangang District.
  • B. Munyang Depot
    Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • C. Jangsan Depot
    Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
  • D. Oshima Depot
    Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
  • E. Fukagawa Depot
    Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63872fda48190bbb1f465cb7b57fe completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e8313048190ae949f99ff72d21a completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074ef599a88190a1edd95887a0c092 completed May 15, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a074fa5d4ec81908900ebf532408239 completed May 15, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:41 p.m.