Triple
T6255871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Line |
E140162
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Rockwell station
Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
|
E585580
|
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: Rockwell station | Statement: [Brown Line, hasStation, Rockwell station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rockwell station Context triple: [Brown Line, hasStation, Rockwell 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.
Wheeler station
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
-
C.
Atco station
Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
-
D.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
-
E.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
- 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: Rockwell station Triple: [Brown Line, hasStation, Rockwell station]
Generated description
Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rockwell station Target entity description: Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
-
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.
Wheeler station
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
-
C.
Atco station
Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
-
D.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
-
E.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
- 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_69c603ea4b64819098abfe83fc5003aa |
completed | March 27, 2026, 4:13 a.m. |
| NEDg | Description generation | batch_69c60506f7d0819084d5a757cdf395a1 |
completed | March 27, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605d48e848190bf11f3862a12d709 |
completed | March 27, 2026, 4:21 a.m. |
Created at: March 22, 2026, 4:24 p.m.