Triple

T3501662
Position Surface form Disambiguated ID Type / Status
Subject State/Lake station E73981 entity
Predicate servedByLine P1293 FINISHED
Object Pink Line E18388 NE FINISHED

How this triple was built (2 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: Pink Line | Statement: [State/Lake station, servedByLine, Pink Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pink Line
Context triple: [State/Lake station, servedByLine, Pink Line]
  • A. Pink Line chosen
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • B. Pink Line
    Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
  • C. Red Line
    The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
  • 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
    Red Line was the original name of Los Angeles Metro’s B Line, a heavy-rail subway corridor serving key neighborhoods between Downtown Los Angeles and North Hollywood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd5fbe8819091b61fa8df355f0c completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3718bd88190bec2f4cfda0010ae completed March 14, 2026, 2:09 a.m.
Created at: March 8, 2026, 3:18 p.m.