Triple

T4660891
Position Surface form Disambiguated ID Type / Status
Subject Cermak Branch E102526 entity
Predicate partOf P40 FINISHED
Object Chicago "L" system E15398 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: Chicago "L" system | Statement: [Cermak Branch, partOf, Chicago "L" system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago "L" system
Context triple: [Cermak Branch, partOf, Chicago "L" system]
  • A. Chicago "L" chosen
    The Chicago "L" is the elevated rapid transit system serving Chicago and some surrounding suburbs, known for its iconic above-ground tracks and extensive urban rail network.
  • B. MAX Red Line light rail
    The MAX Red Line light rail is a public transit service in the Portland metropolitan area that connects downtown Portland with Portland International Airport and other key destinations.
  • C. Metra
    Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
  • D. Brown Line
    The Brown Line is a rapid transit route of Chicago's "L" system that primarily serves the city's North Side and northwest neighborhoods.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632a17cc8190bcdab0a13b89f5c0 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f8f61b08190ad8913c633369c50 completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:15 p.m.