Triple

T19116949
Position Surface form Disambiguated ID Type / Status
Subject Seoul Subway Line 5 E467930 entity
Predicate connectsWith P37 FINISHED
Object Line 9
Line 9 is a major Seoul Metropolitan Subway line that runs east–west across southern Seoul, serving key business and residential districts and connecting with multiple other lines.
E471137 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: Line 9 | Statement: [Seoul Subway Line 5, connectsWith, Line 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 9
Context triple: [Seoul Subway Line 5, connectsWith, Line 9]
  • A. Line 9
    Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
  • B. Line 9
    Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
  • C. Line 9
    Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
  • D. Line 9
    Line 9 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's expanding urban rail network.
  • E. Line 9
    Line 9 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
  • 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: Line 9
Triple: [Seoul Subway Line 5, connectsWith, Line 9]
Generated description
Line 9 is a major Seoul Metropolitan Subway line that runs east–west across southern Seoul, serving key business and residential districts and connecting with multiple other lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 9
Target entity description: Line 9 is a major Seoul Metropolitan Subway line that runs east–west across southern Seoul, serving key business and residential districts and connecting with multiple other lines.
  • A. Line 9 chosen
    Line 9 is a major rapid transit line in the Seoul Metropolitan Subway system known for its express services that significantly reduce travel time across key areas of the city.
  • B. Line 9
    Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
  • C. Line 9
    Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
  • D. Line 9
    Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
  • E. Line 9
    Line 9 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving several key districts in the city.
  • F. None of above.

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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e671f2988190a74d53989124026b completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e9406ba48190a50f4ea6b413e1f4 completed May 14, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a05e9c0d35081909b6ce3c287af5d5f completed May 14, 2026, 3:26 p.m.
Created at: April 10, 2026, 12:05 p.m.