Triple

T15333005
Position Surface form Disambiguated ID Type / Status
Subject Ravenswood Line E366587 entity
Predicate connectsTo P845 FINISHED
Object Red Line
The Red Line is a major rapid transit route in Chicago's 'L' system, running north–south through the city and serving as one of its busiest rail lines.
E15830 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: [Ravenswood Line, connectsTo, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Line
Context triple: [Ravenswood Line, connectsTo, 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: [Ravenswood Line, connectsTo, Red Line]
Generated description
The Red Line is a major rapid transit route in Chicago's 'L' system, running north–south through the city and serving as one of its busiest rail lines.
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 in Chicago's 'L' system, running north–south through the city and serving as one of its busiest rail lines.
  • A. Red Line chosen
    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.
  • 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
    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.
  • D. Red Line
    The Red Line is one of the primary heavy-rail rapid transit routes in Atlanta’s MARTA system, running north–south and serving key destinations across the metropolitan area.
  • E. Red Line
    The Red Line is a major rapid transit route serving Columbia, providing key north–south connections across 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01de4ccc8190aeac4a6c1ffc08d9 completed May 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ff038901788190b8e3150dc514194d completed May 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ff041924e08190a4068d263de94c95 completed May 9, 2026, 9:53 a.m.
Created at: April 10, 2026, 3:17 a.m.