Triple

T1337190
Position Surface form Disambiguated ID Type / Status
Subject Gwangju E28778 entity
Predicate hasSubwaySystem P522 FINISHED
Object Gwangju Metro
Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
E162970 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: Gwangju Metro | Statement: [Gwangju, hasSubwaySystem, Gwangju Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwangju Metro
Context triple: [Gwangju, hasSubwaySystem, Gwangju Metro]
  • A. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • B. 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.
  • C. 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.
  • D. Incheon Subway
    Incheon Subway is the urban rapid transit system serving the city of Incheon, South Korea, connecting major districts and linking with the Seoul Metropolitan Subway network.
  • E. Seoul Metropolitan Subway
    The Seoul Metropolitan Subway is an extensive rapid transit network serving Seoul and its surrounding metropolitan area, known for its high efficiency, cleanliness, and technological sophistication.
  • 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: Gwangju Metro
Triple: [Gwangju, hasSubwaySystem, Gwangju Metro]
Generated description
Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gwangju Metro
Target entity description: Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • A. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • B. 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.
  • C. 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.
  • D. Incheon Subway
    Incheon Subway is the urban rapid transit system serving the city of Incheon, South Korea, connecting major districts and linking with the Seoul Metropolitan Subway network.
  • E. Seoul Metropolitan Subway
    The Seoul Metropolitan Subway is an extensive rapid transit network serving Seoul and its surrounding metropolitan area, known for its high efficiency, cleanliness, and technological sophistication.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1edda1c81909a1149b254b0d57e completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad014e33488190b50469c727b32639 completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad0216e9988190beb96b9d85e2dfce completed March 8, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad026fc2cc81908fa03bfa6e17c391 completed March 8, 2026, 5 a.m.
Created at: March 1, 2026, 7:55 p.m.