Triple

T4292036
Position Surface form Disambiguated ID Type / Status
Subject L (CTA Blue Line) E99615 entity
Predicate connectsWith P37 FINISHED
Object Brown Line (CTA) E140162 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: Brown Line (CTA) | Statement: [L (CTA Blue Line), connectsWith, Brown Line (CTA)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Line (CTA)
Context triple: [L (CTA Blue Line), connectsWith, Brown Line (CTA)]
  • A. Yellow Line (CTA)
    The Yellow Line (CTA), also known as the Skokie Swift, is a short Chicago Transit Authority rapid transit route that runs between Howard and Skokie without serving downtown Chicago.
  • B. Brown Line chosen
    The Brown Line is a rapid transit route of Chicago's "L" system that primarily serves the city's North Side and northwest neighborhoods.
  • C. CTA Brown Line
    The CTA Brown Line is a Chicago 'L' rapid transit route that runs from the city's Northwest Side into the downtown Loop, serving numerous residential and commercial neighborhoods.
  • D. Red Line (Chicago "L")
    The Red Line is a major rapid transit route of the Chicago "L" system, running north–south through the city and operating 24 hours a day.
  • E. Orange Line Metro Train
    Orange Line Metro Train is a rapid transit line in Lahore, Pakistan, forming part of the city’s metro system and providing high-capacity urban rail service.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d60ae3c8190aea53073a37d0c07 completed March 21, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:08 p.m.