Triple

T6255869
Position Surface form Disambiguated ID Type / Status
Subject Brown Line E140162 entity
Predicate hasStation P35 FINISHED
Object Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
E584682 NE FINISHED

How this triple was built (4 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: Kedzie station | Statement: [Brown Line, hasStation, Kedzie station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kedzie station
Context triple: [Brown Line, hasStation, Kedzie station]
  • A. Kimball station
    Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
  • B. Waban station
    Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
  • C. Darien station
    Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
  • D. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • E. Pearl station
    Pearl station was the original name of the Pearl/Arts District light rail station in Dallas, Texas, serving the downtown area on DART’s system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kedzie station
Triple: [Brown Line, hasStation, Kedzie station]
Generated description
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kedzie station
Target entity description: Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
  • A. Kimball station
    Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
  • B. Waban station
    Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
  • C. Darien station
    Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
  • D. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • E. Pearl station
    Pearl station was the original name of the Pearl/Arts District light rail station in Dallas, Texas, serving the downtown area on DART’s system.
  • F. None of above. chosen

Provenance (5 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063653910819095f1dc3b90ce77db completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3f7faf08190a349c9444135afb8 completed March 27, 2026, 1:57 a.m.
NEDg Description generation batch_69c5ed89dbc88190abda05d9d06fb7b5 completed March 27, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee08cc488190baaafc1e679f83aa completed March 27, 2026, 2:40 a.m.
Created at: March 22, 2026, 4:24 p.m.