Triple

T16658704
Position Surface form Disambiguated ID Type / Status
Subject Xiangshan MRT Station E404801 entity
Predicate line P1293 FINISHED
Object Red Line
The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
E1230542 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: Red Line | Statement: [Xiangshan MRT Station, line, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Line
Context triple: [Xiangshan MRT Station, line, Red Line]
  • A. Red Line
    The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
  • B. Red Line
    Red Line is a song by the American rock band Trans Am, known for their experimental blend of post-rock, electronic, and krautrock influences.
  • C. Red Line
    The Red Line is one of the major corridors of the Delhi Metro rapid transit system, serving numerous densely populated areas in and around Delhi.
  • D. Red Line
    Red Line is one of the main rapid transit corridors of the Hyderabad Metro system in Hyderabad, India.
  • E. Red Line
    The Red Line is a light rail route in the Salt Lake City TRAX system that connects key destinations across the Salt Lake Valley.
  • 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: Red Line
Triple: [Xiangshan MRT Station, line, Red Line]
Generated description
The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red Line
Target entity description: The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
  • A. Red Line
    Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
  • B. Red Line
    The Red Line is a major rapid transit route in the Boston metropolitan area, operated by the MBTA and running primarily north–south through key neighborhoods and suburbs.
  • C. Red Line
    The Red Line is a major rapid transit route in Chicago that runs north–south through the city, serving as one of the busiest lines in its subway and elevated rail system.
  • D. Red Line
    The Red Line is a primary route of Pittsburgh’s light rail system, connecting downtown with several southern neighborhoods and suburbs.
  • E. Red Line
    Red Line is one of the main rapid transit routes of the Dubai Metro, running along key areas of the city and serving many of its major commercial and residential districts.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfcbb6881909c0419174dd017dc completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2f7ad88190ba85a79154502841 completed May 10, 2026, 2:58 p.m.
NEDg Description generation batch_6a009df9e4ec81909c4c155a026904fe completed May 10, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a009eb06d6481909914286301f9b4db completed May 10, 2026, 3:05 p.m.
Created at: April 10, 2026, 5:18 a.m.