Triple
T19904750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grosvenor–Strathmore station |
E478383
|
entity |
| Predicate | adjacentStationOnRedLine |
P24861
|
FINISHED |
| Object | Medical Center station |
—
|
NE NERFINISHED |
How this triple was built (3 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: Medical Center station | Statement: [Grosvenor–Strathmore station, adjacentStationOnRedLine, Medical Center station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Center station Context triple: [Grosvenor–Strathmore station, adjacentStationOnRedLine, Medical Center station]
-
A.
University Medical Center station
University Medical Center station is a light rail stop on Salt Lake City's TRAX system serving the University of Utah medical campus and nearby facilities.
-
B.
VHS Medical Center station
VHS Medical Center station is a southern terminus station on Seoul Subway Line 9 serving the area around the Veterans Health Service Medical Center in Seoul, South Korea.
-
C.
Facultad de Medicina station
Facultad de Medicina station is a Buenos Aires Underground stop on Line D that serves the area around the University of Buenos Aires Faculty of Medicine.
-
D.
Government Center station
Government Center station is a major transit hub in downtown Miami that serves as a central connection point for multiple Miami-Dade public transportation lines.
-
E.
Government Center station
Government Center station is a major Boston subway hub and transfer point in downtown Boston, serving multiple MBTA Green Line branches and the Blue Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medical Center station Target entity description: Medical Center station is a Washington Metro Red Line station in Bethesda, Maryland, serving the National Institutes of Health and Walter Reed National Military Medical Center.
-
A.
University Medical Center station
University Medical Center station is a light rail stop on Salt Lake City's TRAX system serving the University of Utah medical campus and nearby facilities.
-
B.
VHS Medical Center station
VHS Medical Center station is a southern terminus station on Seoul Subway Line 9 serving the area around the Veterans Health Service Medical Center in Seoul, South Korea.
-
C.
Facultad de Medicina station
Facultad de Medicina station is a Buenos Aires Underground stop on Line D that serves the area around the University of Buenos Aires Faculty of Medicine.
-
D.
Government Center station
Government Center station is a major transit hub in downtown Miami that serves as a central connection point for multiple Miami-Dade public transportation lines.
-
E.
Government Center station
Government Center station is a major Boston subway hub and transfer point in downtown Boston, serving multiple MBTA Green Line branches and the Blue Line.
- F. None of above. chosen
Provenance (2 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65945cc2081908224902d5f042d7a |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.