Triple

T17815836
Position Surface form Disambiguated ID Type / Status
Subject CTA 2400-series railcars E444836 entity
Predicate usedOnLine P15252 FINISHED
Object Purple Line NE NERFINISHED

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: Purple Line | Statement: [CTA 2400-series railcars, usedOnLine, Purple Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Line
Context triple: [CTA 2400-series railcars, usedOnLine, Purple Line]
  • A. Purple Line
    The Purple Line is a major rapid transit corridor of Bengaluru’s Namma Metro system, connecting key residential and commercial areas across the city.
  • B. Purple Line chosen
    The Purple Line is a rapid transit route in Chicago's 'L' system that primarily serves the city's northern suburbs and connects them to the North Side of Chicago.
  • C. Purple Line
    The Purple Line is a light rail route in Houston, Texas, that serves as part of the METRORail system, connecting downtown with southeastern neighborhoods and key destinations.
  • D. Purple Line
    The Purple Line is one of the urban cable car routes in La Paz–El Alto’s Mi Teleférico network, known for its distinctive purple branding and role in the city’s aerial public transit system.
  • E. Purple Line
    The Purple Line is a rapid transit line that forms part of the Baku Metro system in Baku, Azerbaijan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.