Triple

T17175432
Position Surface form Disambiguated ID Type / Status
Subject CTrain E416846 entity
Predicate hasLine P35 FINISHED
Object Red Line
The Red Line is a primary light rail route within Calgary's CTrain public transit system, running along a north-south corridor through key areas of the city.
E426995 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: [CTrain, hasLine, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Line
Context triple: [CTrain, hasLine, 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: [CTrain, hasLine, Red Line]
Generated description
The Red Line is a primary light rail route within Calgary's CTrain public transit system, running along a north-south corridor through key areas of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red Line
Target entity description: The Red Line is a primary light rail route within Calgary's CTrain public transit system, running along a north-south corridor through key areas of the city.
  • A. Red Line chosen
    The Red Line is one of the primary light rail transit routes in Calgary’s CTrain system, running on a north–south axis through key areas of the city.
  • B. Red Line
    The Red Line is a major light rail route in the Dallas Area Rapid Transit (DART) system serving key corridors across the Dallas–Fort Worth metro area.
  • C. Red Line
    The Red Line is a primary route of Pittsburgh’s light rail system, connecting downtown with several southern neighborhoods and suburbs.
  • D. 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.
  • E. Red Line
    The Red Line is one of the main light rail routes of Dublin’s Luas tram system, running east–west across the city and serving key central and suburban areas.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0cec448190b30466628a2ff23f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016747a8908190a7ce1408abc70c47 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016838367c8190b5117d5314f71a16 completed May 11, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0168976af88190a5f839a93538ac6f completed May 11, 2026, 5:26 a.m.
Created at: April 10, 2026, 5:37 a.m.