Triple
T5034160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeview, Chicago |
E113379
|
entity |
| Predicate | hasCTAStation |
P39430
|
FINISHED |
| Object | Diversey station |
E161112
|
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: Diversey station | Statement: [Lakeview, Chicago, hasCTAStation, Diversey station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diversey station Context triple: [Lakeview, Chicago, hasCTAStation, Diversey station]
-
A.
Diversey station
chosen
Diversey station is a Chicago Transit Authority 'L' train stop in the Lincoln Park neighborhood, served primarily by the Brown and Purple Lines.
-
B.
Cecil B. Moore station
Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
-
C.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
D.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
E.
Raymond Avenue Station
Raymond Avenue Station is a light rail stop in Saint Paul, Minnesota, serving the METRO Green Line and the surrounding University and neighborhood communities.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77cb8d2c8190a0f7c574a177091a |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba5b5f84819086b7af26923f0987 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:36 p.m.