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.