Triple
T2234465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winfield, Illinois |
E49246
|
entity |
| Predicate | hasRailStation |
P726
|
FINISHED |
| Object |
Winfield station
Winfield station is a commuter rail stop in Winfield, Illinois, served by Metra’s Union Pacific West Line in the Chicago metropolitan area.
|
E305387
|
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: Winfield station | Statement: [Winfield, Illinois, hasRailStation, Winfield station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winfield station Context triple: [Winfield, Illinois, hasRailStation, Winfield station]
-
A.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
B.
Westwood station
Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
-
C.
Hewlett station
Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
-
D.
Darien station
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
-
E.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
- 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: Winfield station Triple: [Winfield, Illinois, hasRailStation, Winfield station]
Generated description
Winfield station is a commuter rail stop in Winfield, Illinois, served by Metra’s Union Pacific West Line in the Chicago metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winfield station Target entity description: Winfield station is a commuter rail stop in Winfield, Illinois, served by Metra’s Union Pacific West Line in the Chicago metropolitan area.
-
A.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
B.
Westwood station
Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
-
C.
Hewlett station
Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
-
D.
Darien station
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
-
E.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d0915148190b77b8a30fa3f796d |
completed | March 10, 2026, 1:30 p.m. |
| NEDg | Description generation | batch_69b01def4f408190a0fcdba125b642bc |
completed | March 10, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b01e75d3c4819097fd86902eccd8c4 |
completed | March 10, 2026, 1:36 p.m. |
Created at: March 4, 2026, 7:47 p.m.