Triple

T22411883
Position Surface form Disambiguated ID Type / Status
Subject Peel station E554011 entity
Predicate servesLine P839 FINISHED
Object Green Line NE NERFINISHED

How this triple was built (3 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: Green Line | Statement: [Peel station, servesLine, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [Peel station, servesLine, Green Line]
  • A. Green Line
    The Green Line is the oldest and busiest line of the Athens Metro, running primarily at ground level and connecting key northern and southern suburbs through central Athens.
  • B. Green Line
    The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
  • C. Green Line
    The Green Line was the former name of Los Angeles Metro's C Line, a light rail route serving the South Bay region and connecting to LAX via nearby stations.
  • D. Green Line
    The Green Line is a light rail service route within the San Diego Trolley system that connects key destinations across the San Diego metropolitan area.
  • E. Green Line
    The Green Line is a light rail service operated as part of Cleveland's RTA Rapid Transit system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Green Line
Target entity description: The Green Line is a rapid transit line in Montreal's Metro system, running primarily east–west through the city and serving major downtown and suburban areas.
  • A. Green Line chosen
    The Green Line is one of the primary rapid transit lines of Montreal's Metro system, running east–west through several of the city's busiest central and residential areas.
  • B. Green Line
    The Green Line is a rapid transit route within Miami-Dade County's Metrorail system, providing north-south rail service through key urban neighborhoods and connections.
  • C. Green Line
    The Green Line is a major rapid transit route on the Taipei Metro system that connects the Songshan and Xindian districts.
  • D. Green Line
    The Green Line is a light rail service in the Boston metropolitan area operated by the Massachusetts Bay Transportation Authority (MBTA), known for serving key downtown and surrounding neighborhoods.
  • E. Green Line
    The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
  • F. None of above.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15943dd84819099e77563da470594 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.