Triple

T4098855
Position Surface form Disambiguated ID Type / Status
Subject Lake Shore Campus E87888 entity
Predicate hasTransportationAccess P1298 FINISHED
Object CTA Red Line E74423 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: CTA Red Line | Statement: [Lake Shore Campus, hasTransportationAccess, CTA Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTA Red Line
Context triple: [Lake Shore Campus, hasTransportationAccess, CTA Red Line]
  • A. CTA Red Line chosen
    The CTA Red Line is a major rapid transit route in Chicago that runs north–south through the city, including service through the downtown Loop.
  • B. CTA Orange Line
    The CTA Orange Line is a Chicago 'L' rapid transit route that runs between the Loop and Midway International Airport, serving the city's Southwest Side.
  • C. CTA Blue Line
    The CTA Blue Line is a major Chicago 'L' rapid transit route that runs between O'Hare International Airport, downtown Chicago, and the city's western neighborhoods and suburbs.
  • D. CTA Green Line
    The CTA Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides and serving the downtown Loop.
  • E. 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.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0bdea48190805a79515ee92709 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4073aa88190ba64691b93aab900 completed March 20, 2026, 7:46 p.m.
Created at: March 9, 2026, 3:40 p.m.