Triple

T4393697
Position Surface form Disambiguated ID Type / Status
Subject Randolph/Wabash E99428 entity
Predicate servedLine 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: [Randolph/Wabash, servedLine, Pink Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pink Line
Context triple: [Randolph/Wabash, servedLine, 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb1f4e248190909d29048b91c118 completed March 18, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:19 p.m.